CN101078374A - Fuel pressure controlling device and controlling method for mini combustion turbine - Google Patents

Abstract

The invention relates to a fuel pressure control device of micro gas turbine and the control method. The device comprises DSP TM320LF2407A of TI Co. and the minimum system design, power circuit, signal detection circuit, signal processing circuit, communication processing circuit and driving output circuit. Thereinto, the signal processing circuit, the communication processing circuit and the driving circuit are connected with the DSP respectively. The signal detection circuit is connected with the signal processing circuit and the communication processing circuit is connected with the central control device. The control method of fuel pressure control device comprises initialization, self detection, normal shutdown control, parameter modification and pressure control monitoring on time. The invention is provided with reliability, safety, economic practicality and technology advancement.

Description

A fuel pressure control device and control method for a micro gas turbine

technical field

The invention belongs to the technical field of micro gas turbines, in particular to a fuel pressure control device and control method for a micro gas turbine.

Background technique

Micro gas turbines will play an important role and strategic significance in my country's electric power, power and other national economic fields and national security in the future. Advanced gas turbine technology is the core key technology in the energy power system in the 21st century. The development of high and new technologies in the national economy and national defense construction such as aerospace, ships, vehicles, and military affairs is of great significance. The micro gas turbine is composed of a high-speed rotating impeller, and the energy generated by the combustion of fuel is used to do work through the turbine to generate electrical energy to supply power to the load. It is mainly composed of compressors, combustion chambers, turbines, some generator sets, and regenerators. The basic technical feature is the use of radial flow impeller machinery (central turbine and centrifugal compressor), and the two impellers on the rotor are back-to-back. Structure, the regenerator is generally a high-efficiency plate-fin type, and some units also use air bearings, which do not require a lubricating oil system, so the structure is simpler. The micro gas turbine generator set has a series of advantages such as high efficiency, low noise, light weight, small size, low pollution, and multiple integrated expansion.

The fuel pressure control device is an important part of the micro gas turbine, and the combustion control device involved in the present invention is not limited to the microcomputer in essence, but a general equipment solution. The micro gas turbine fuel pressure control device is a module that realizes constant fuel pressure in the fuel storage tank, and is the main functional module of the fuel pressure control device. There are two main types of fuel used in gas turbines: one is gaseous fuel, mainly natural gas; the other is liquid fuel, mainly diesel. The fuels targeted by the present invention are gaseous fuels. Gas fuel pressure control is mainly to keep the fuel pressure in the fuel storage tank constant, and keeping the pressure in the fuel storage tank constant is a prerequisite for the normal operation of the gas turbine. If the fuel pressure is not enough, the gas turbine will not be able to start normally, and will not be able to perform external work, so that the entire unit will be in a paralyzed stage; if the fuel is greater than the set pressure value, it will cause damage to the gas turbine itself, and in severe cases, a major accident will occur. Therefore, fuel pressure control is an important guarantee for the normal use of gas turbines and for obtaining economic benefits. At present, there are many kinds of fuel pressure controller products, and the control technology is mostly realized by programmable logic controller (PLC), which is a secondary development, the cost is high, and the upgrading is too complicated. It is still blank to use digital signal processor (DSP) as the main control method.

In actual process control and motion control systems, the PID family occupies a considerable position. According to statistics, PID controllers account for more than 90% of industrial control controllers. The PID controller has the characteristics of simple structure, each control parameter has obvious physical meaning, and is easy to adjust. Its algorithm is simple, robust and reliable. It is widely used in process control and motion control, especially suitable for establishing Deterministic control systems with precise mathematical models. However, in the actual industrial production process, the control system often has nonlinearity, time-varying uncertainty and cannot establish an accurate mathematical model, so the ideal control effect cannot be achieved by using conventional PID. At the same time, in the actual production site, due to the limitation of the complex parameter setting method, the parameters of the conventional PID controller are often poorly set, the performance is not good, and the adaptability to the operation of the field system is very poor. With the development of computer technology and intelligent control theory, a new approach has been created for the control of complex dynamic systems. Using intelligent control technology, intelligent PID can be designed and PID intelligent tuning can be performed. In the early stage of debugging, the device adopts traditional PID control, but due to the time-varying, nonlinear, hysteresis and other characteristics of this system, the use of traditional PID control shows disadvantages. In order to obtain better control effects, the present invention will use traditional The PID control combined with fuzzy control theory makes the control system have the function of online parameter self-calibration. Further improve the control precision and the security and stability of the system. Theoretically, the device and control method involved in the device can become a general control technology and be applied to other occasions that require fuel pressure control.

Contents of the invention

Aiming at the deficiencies in the prior art, the present invention provides a fuel pressure control device and control method for a micro gas turbine (this achievement is the subject achievement of the National High Technology Research and Development Program ("863" Program)).

The fuel control system includes a host computer, a display and communication device, a central control device, a combustion control device, a fuel pressure control device, an inverter control device, a soft start control device, and a battery management device; the display and communication devices are respectively connected with the host computer, the central The control devices are connected, and the combustion control device, fuel pressure control device, inverter control device, soft start control device, and battery management device are connected, as shown in Figure 1.

The hardware devices that the fuel pressure control device depends on include fuel compressor, frequency converter, pressure sensor, fuel storage tank, fuel pressure control device, valve W52, valve W53, radiator, filter 1, filter 2, fuel regulating valve, combustion chamber. Among them, the fuel pressure control device is connected with the CAN bus, the D/A conversion output control signal in the fuel pressure control device controls the frequency converter, and the signal collected by the pressure sensor is input into the A/D conversion in the fuel pressure control device. Tank is connected, valve W52 is connected with filter 1, filter 1 is connected with fuel compressor, fuel compressor is connected with radiator, radiator is connected with fuel storage tank, fuel storage tank is connected with filter 2, filter 2 is connected with valve W53 is connected, the valve W53 is connected with the fuel regulating valve and the central control device of the gas turbine, and the fuel regulating valve is respectively connected with the combustion chamber and the gas turbine control device of the gas turbine; as shown in Figure 2.

The hardware device of the fuel pressure control device of the present invention is shown in Figure 4, including TI's digital signal processor TM320LF2407A and its minimum system design, signal detection circuit, signal processing circuit, communication processing circuit, and drive output circuit; wherein the signal processing circuit , the communication processing circuit, and the driving power supply circuit are respectively connected to the digital signal processor; the signal detection circuit is connected to the signal processing circuit, and the communication processing circuit is connected to the central control device;

The minimum system design mainly includes: externally expanded 128K*16BIT RAM, 128K*16BIT EPROM, 8K*16BIT EEPROM, logic control circuit, crystal oscillator circuit, reset circuit.

The reset circuit is shown in Figure 5, the button switch S1 is a normally open switch; one end of it is connected to 3.3V, the other end is connected to the base of the transistor U1 through the capacitor CS1, and the collector of U1 is connected to the input end of the inverter B. The output terminal of B is connected with the input terminal of inverter A, and the output terminal of A outputs a reset signal, which is connected with the reset terminal of the digital signal processor.

The function of the signal detection and signal processing circuit is to detect the signal and filter the detected signal, input it into the A/D converter of the digital signal processor, and the sequencer. The digital signal processor includes a high-precision capture unit, which can capture the pulse signal sent by the eddy current sensor and convert the speed of the gas turbine.

Communication processing circuit: The communication between the gas turbine control device and other control devices is carried out through CAN bus and SCI. There is a CAN controller module inside TMS320LF2407A, but it must drive the chip through CAN. We choose the chip PCA82C2507T of PHIHLPS Company, which is a CAN driver chip with superior performance. It is the interface between the CAN controller and the physical bus, and provides the differential sending and receiving functions of the bus. The devices used in the SCI unit are: the RS-232 communication module of the DSP itself, and the external driver MAX-232.

Power module: Convert +24v voltage to +5V, +12V, -12V for system use.

The drive output circuit is shown in Figure 6; the data port DB0-DB11, the chip select terminal and the write operation terminal of the chip IC24 are directly connected to the I/O port of the digital signal processor, and the pin 20 of IC24 is connected to the amplifier IC23 through the resistor RY19. The reverse input terminal, the output terminal of IC23 is connected to the reverse input terminal of the amplifier IC30A through the resistor RY2, the output terminal of IC30A is connected to the base of the transistor U2 through the resistor RY4, the collector of U2 is connected to the base of U3, and the The collector outputs the driving current through the resistor RY7.

In the gas turbine fuel pressure control system, the natural gas flow rate is used as the control variable. Since the gas flow rate is difficult to measure accurately, it is not suitable for precise control of the gas flow rate. In this control system, in order to obtain accurate control of the flow of natural gas, the flow of natural gas is indirectly controlled by controlling the opening of the fuel regulating valve.

Fig. 3 is a schematic diagram of fuel flow control. The natural gas in the fuel storage tank enters the combustion chamber through the filter through the fuel regulating valve, thereby providing fuel to the combustion chamber. The natural gas pressure in the fuel storage tank is P, the gas pressure in the combustion chamber is P', and the opening degree of the fuel regulating valve is θ. P1 and P2 are the pressure values before and after the filter respectively. If the pressure difference between the front and the back is too large, it means that the filter is clogged, and an alarm signal is sent to deal with it, and the machine is shut down in an emergency.

The velocity of natural gas flowing through the fuel regulating valve is v, and the flow velocity v of natural gas has the following relationship with the pressure difference before and after the regulating valve:

v=k*(P-P′)=k*ΔP (1)

In the formula, k is a constant, ΔP is the gas pressure difference before and after the fuel regulating valve, P is the pressure in the fuel storage tank, and P' is the pressure in the combustion chamber.

Then the relationship between the flow rate of natural gas and the opening of the regulating valve is:

U＝v*θ＝k*(P-P′)*θ＝k*ΔP*θ (2)

When the gas turbine is in normal operation, the gas pressure in the combustion chamber remains basically constant, which is a constant. If the natural gas pressure in the fuel storage tank can be kept constant, the pressure difference before and after the regulating valve is a constant value. At this point, formula (2) can be simplified as:

U＝K*θ

In the formula: K=k*(P-P')=k*ΔP is a constant.

From the above reasoning, it can be seen that it should be theoretically reasonable to indirectly control the flow of natural gas by adjusting the opening of the fuel regulating valve, so we can precisely control the flow of fuel by adjusting the opening of the fuel regulating valve.

The prerequisite for the establishment of formula (3) is that the gas pressure difference before and after the fuel regulating valve is constant, which requires that the natural gas pressure in the fuel storage tank must be kept constant when the gas turbine is running smoothly. Otherwise, formula (3) will no longer hold true, and the control purpose of precisely controlling the flow of fuel by adjusting the opening of the regulating valve cannot be realized.

Therefore, maintaining a constant natural gas pressure in the fuel storage tank is a prerequisite for ensuring the stable operation of the gas turbine. The control accuracy of the fuel pressure control system determines the control performance of the gas turbine.

The design of fuel pressure system of micro gas turbine adopts incremental PID control. In the debugging stage, the application of ordinary PID control can meet the requirements of the control system and reach the specified range of stability. However, the action of the fuel valve will cause disturbance to the system, as well as some high-frequency disturbances, which will deteriorate the stability of the system. Therefore, if you want to make the system more stable, you need to add some other control algorithms to control the pressure control system to make the system work more stably. Therefore, the fuzzy control algorithm is added under the control of ordinary PID. In this way, through simulation It will be seen that after adding the fuzzy control algorithm, the control effect is much better than before.

In the control process, many controlled objects change and affect the structure of the parameters of the controlled object with the change and influence of the disturbance. Due to the limited experience of the operator, the parameters are not easy to describe accurately, and various signal quantities and evaluation indicators in the control process are not easy to quantitatively express. , fuzzy theory is an effective way to solve this problem, so people use the basic theories and methods of fuzzy mathematics to express the conditions and operations of the rules with fuzzy sets, and use fuzzy reasoning to automatically realize the best adjustment of PID parameters.

PID parameter fuzzy self-tuning controller is a binary continuous function between the parameters Kp, Ki, Kd and the absolute value of the deviation |E| and the absolute value of the deviation |Ec| The relationship is:

$\left.\begin{array}{c}{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; p</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span><span\; class="notranslate">\; |</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; ,</span><span\; class="notranslate">\; |</span>{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; )</span>\\ {\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span><span\; class="notranslate">\; |</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; ,</span><span\; class="notranslate">\; |</span>{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; )</span>\\ {\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; d</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; (</span><span\; class="notranslate">\; |</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; ,</span><span\; class="notranslate">\; |</span>{\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; c</span>}}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; )</span>\end{array}\right\}$

And according to different |E| and |Ec| online self-tuning parameters Kp, Ki, Kd. From the above formula, it can be seen that the fuzzy PID controller takes the absolute value of error |E| and the absolute value of error change rate |Ec| as input to meet the requirements of |E| and |Ec| for PID self-tuning at different times [3]. PID fuzzy self-tuning is to find out the fuzzy relationship between the three parameters Kp, Ki, Kd and |E| |E| and |Ec| have different requirements on control parameters, so that the controlled object has good dynamic and static characteristics. Figure 7 shows the control block diagram of the fuzzy PID controller.

In this paper, the seven-stage fuzzy domain of discourse is used to describe the fuzzy subset, which is generally recorded as:

E={NB, NM, NS, ZE, PS, PM, PB}, its meaning is "negative big", "negative small", "negative middle", "zero", "positive small", "positive middle", " Zhengda". Assuming that E, Ec and Ki, Ki, Kd all obey the normal distribution, the membership degree of each fuzzy subset can be obtained. Quantify the deviation E, the deviation change rate Ec and the output into the area of (-3, 3), and its membership function curve is shown in Figure 8. The core of fuzzy control is to establish a suitable fuzzy rule table, which is based on the design It is designed based on the design experience of the personnel.

The working process of the system is as follows: the gaseous fuel enters from the fuel inlet, is compressed by the fuel compressor to increase the pressure, and the pressurized gaseous fuel is filtered through the filter 1 and stored in the fuel storage tank. The function of the filter is to filter the impurities in the gaseous fuel. Prevent solid impurities from clogging fuel nozzles. A pressure sensor is externally connected to the fuel storage tank, and the pressure sensor performs pressure sampling, and then sends the sampled value to the fuel pressure control device after analog-to-digital conversion. The fuel pressure control device uses the pressure sampled value and the pressure set point As the input quantity, the control quantity is calculated to control the speed of the fuel compressor to achieve the purpose of pressure control.

When the gas turbine is running, the fuel pressure control device conducts online identification of the pressure sampling parameters and controls them in real time. The fuel pressure control device is programmed in assembly language and is divided into five modules: initialization and self-inspection, normal shutdown control, parameter modification and real-time monitoring of pressure control.

1. The initialization module works according to the following steps, as shown in Figure 11;

(1), initialization status register, system control register;

(2), watchdog reset;

(3), selectively initializing part of the auxiliary register ARx;

(4), CAN bus, ADC data conversion module initialization;

(5), event management module initialization (this module is mainly used for timing comparison output), general timer control register initialization (output methods such as comparison terminal, cycle terminal and terminal trigger event definition, counting method, timer enable and prohibit operation) , the initial value setting of the general timer, the initial value setting of the comparison register, and the parameter setting of the period register;

(6) The working mode setting of some I/O ports,

(7), set the pressure control parameters;

(8), load the regenerative control empirical formula parameter values;

(9). The initialization ends.

2. Self-inspection module, the self-inspection of the fuel pressure control device includes three points: the regenerator controls the No. 1 valve position detection point, the regenerator controls the No. 2 valve position detection point, and the pressure control frequency converter is normal. These three points are all switching signals. After being detected by the optocoupler circuit, the switching value information is stored in the I/O port register. When running the self-inspection module program, first read the corresponding information from the I/O port register to judge whether the three detection points are normal. In order to avoid mistakes during the judgment, it must be judged three times to be the same before it can be considered correct. If there is an abnormality at any point, recovery measures should be taken. If the recovery fails, the error self-test result should be transmitted to the CCU, requesting to stop and start, and execute according to the following steps, as shown in Figure 10;

(1), open up byte data area;

(2), the self-test unit is cleared;

(3), detect the port data three times, and send it to the memory for storage;

(4) judge whether the three test results are consistent; if yes, perform step (5); if not, perform step (6);

(5) The self-test results are transmitted to the central control device;

(6) Adjust the valve position and return to step (3).

3. The normal shutdown control module enters the normal shutdown phase when the fuel pressure control device receives the normal shutdown signal from the central control device. During normal shutdown, turn off the regenerator control, fully open the two valves that control the regenerator, keep the pressure control to charge the battery, and upload data at the same time. When the charging is finished, it enters the restart state, and waits for the final shutdown or restart. The normal shutdown control module is executed according to the following steps, as shown in Figure 12;

(1), shut down, open the valve;

(2), set the flag;

(3), receive the CAN signal and judge the signal type; if it is the charging end signal from the central control device, perform step (4); if it is a data transmission signal from the display and communication device, then perform step (6);

(4), close all interrupts, the output of the inverter is 0;

(5) Turn off the inverter;

(6) Turn off the data transmission program, analyze and send the requested data;

(7), call series of subroutines, check the valve flag, return to step (2);

4. Parameter modification module, after the control system receives the "parameter modification" command from the upper computer, it enters the parameter modification subroutine module. First determine the serial number of the modified parameter, then extract the calibration value of the corresponding parameter, call the corresponding parameter conversion subroutine according to the calibration value, convert the parameter from the numerical type of BCD code to hexadecimal, and then save it to the parameter storage unit. The parameter modification module is executed according to the following steps, as shown in Figure 13;

(1), start;

(2), judging whether the mailboxes are all in an interrupted state, if not, return to step (2); if yes, perform step (3);

(3), clear all interrupts;

(4) Receive parameter modification instructions issued by the central control device;

(5), calling the parameter modification subroutine;

(6) The modified parameters are stored in the EEPROM and sent to the central control device.

5. The pressure control real-time monitoring module is controlled by a fuzzy PID controller and executed according to the following steps, as shown in Figure 9;

(1), the main program starts, initializes each register, and closes the total interrupt;

(2), receiving the system sent by the central control device;

(3), judge whether the system signal sent by the central control device is normal; If yes, perform step (4); if not, perform step (2);

(4), transfer other subroutines, enter the automatic operation module;

(5), judge whether the frequency converter and the valve position are normal, and send the judgment result to the central control device; if yes, perform step (6); if not, return to step (5);

(6) Start the frequency converter and adjust the pressure closed-loop control program;

(7) Send a normal signal to the central control device, and send a set of pressure data to the upper computer;

(8) Pressure control program for recombination;

(9), judge whether the stop signal is normal; If yes, perform step (10); if not, perform step (8);

(10), shutdown.

The invention realizes the control target by using the digital signal processor TM320LF2407a of TI Company for the first time, fills the gap in the country, improves the control precision and reduces the technical cost, and facilitates the upgrading of products at the same time. In the control method, various adjustment methods and fuzzy PID are used to control the fuel pressure, which further improves the control accuracy and the safety and stability of the system. The device and control method involved in the controller can become a general control technology and be applied to other occasions requiring fuel pressure control. It is reliable, safe, economical and practical, and technologically advanced.

Description of drawings

Figure 1 is a structural block diagram of a gas turbine system;

Fig. 2 is a structural block diagram of a fuel pressure control device;

Fig. 3 is a schematic diagram of fuel flow control;

Fig. 4 is a block diagram of the hardware structure of the fuel control device;

Figure 5 is a schematic diagram of the reset circuit;

Fig. 6 is the circuit schematic diagram of driving output circuit;

The block diagram of the fuzzy controller of Fig. 7;

Figure 8 is the membership function curve

Fig. 9 is a software flow chart of the pressure control real-time monitoring module;

Fig. 10 is the software flowchart of self-inspection module;

Fig. 11 is the software flowchart of initialization module;

Fig. 12 is the software flowchart of normal shutdown control module;

Fig. 13 is the software flowchart of parameter modification module;

Fig. 14 is output curve of conventional PID control system;

Fig. 15 is fuzzy PID control output curve;

Detailed ways

Below in conjunction with accompanying drawing, the present invention will be further described;

The hardware device of the fuel pressure control device of the present invention is shown in Figure 4, including TI's digital signal processor TM320LF2407A and its minimum system design, signal detection circuit, signal processing circuit, communication processing circuit, and drive output circuit; wherein the signal processing circuit , the communication processing circuit, and the driving power supply circuit are respectively connected to the digital signal processor; the signal detection circuit is connected to the signal processing circuit, and the communication processing circuit is connected to the central control device;

The minimum system design mainly includes: externally expanded 128K*16BIT RAM, 128K*16BIT EPROM, 8K*16BIT EEPROM, logic control circuit, crystal oscillator circuit, reset circuit.

The reset circuit is shown in Figure 5, the button switch S1 is a normally open switch; one end of it is connected to 3.3V, the other end is connected to the base of the transistor U1 through the capacitor CS1, and the collector of U1 is connected to the input end of the inverter B. The output terminal of B is connected with the input terminal of inverter A, and the output terminal of A outputs a reset signal, which is connected with the reset terminal of the digital signal processor.

The function of the signal detection and signal processing circuit is to detect the signal and filter the detected signal, input it into the A/D converter of the digital signal processor, and the sequencer. The digital signal processor includes a high-precision capture unit, which can capture the pulse signal sent by the eddy current sensor and convert the speed of the gas turbine.

Communication processing circuit: The communication between the gas turbine control device and other control devices is carried out through CAN bus and SCI. There is a CAN controller module inside TMS320LF2407A, but it must drive the chip through CAN. We choose the chip PCA82C2507T of PHIHLPS Company, which is a CAN driver chip with superior performance. It is the interface between the CAN controller and the physical bus, and provides the differential sending and receiving functions of the bus. The devices used in the SCI unit are: the RS-232 communication module of the DSP itself, and the external driver MAX-232.

Power module: Convert +24v voltage to +5V, +12V, -12V for system use.

The drive output circuit is shown in Figure 6; the data port DB0-DB11, the chip select terminal and the write operation terminal of the chip IC24 are directly connected to the I/O port of the data processor, and the pin 20 of the IC24 is connected to the inverter of the amplifier IC23 through the resistor RY19. To the input terminal, the output terminal of IC23 is connected to the reverse input terminal of the amplifier IC30A through the resistor RY2, the output terminal of IC30A is connected to the base of the transistor U2 through the resistor RY4, the collector of U2 is connected to the base of U3, and the collector of U3 The electrode outputs the driving current through the resistor RY7.

When the gas turbine is running, the fuel pressure control device conducts online identification of the pressure sampling parameters and controls them in real time. The fuel pressure control device is programmed in assembly language and is divided into five modules: initialization and self-inspection, normal shutdown control, parameter modification and real-time monitoring of pressure control.

2. The initialization module works according to the following steps, as shown in Figure 11;

(1), initialization status register, system control register;

(2), watchdog reset;

(3), selectively initializing part of the auxiliary register ARx;

(4), CAN bus, ADC data conversion module initialization;

(5), event management module initialization (this module is mainly used for timing comparison output), general timer control register initialization (output methods such as comparison terminal, cycle terminal and terminal trigger event definition, counting method, timer enable and prohibit operation) , the initial value setting of the general timer, the initial value setting of the comparison register, and the parameter setting of the period register;

(6) The working mode setting of some I/O ports,

(7), set the pressure control parameters;

(8), load the regenerative control empirical formula parameter values;

(9). The initialization ends.

2. Self-inspection module, the self-inspection of the fuel pressure control device includes three points: the regenerator controls the No. 1 valve position detection point, the regenerator controls the No. 2 valve position detection point, and the pressure control frequency converter is normal. These three points are all switching signals. After being detected by the optocoupler circuit, the switching value information is stored in the I/O port register. When running the self-inspection module program, first read the corresponding information from the I/O port register to judge whether the three detection points are normal. In order to avoid mistakes during the judgment, it must be judged three times to be the same before it can be considered correct. If there is an abnormality at any point, recovery measures should be taken. If the recovery is unsuccessful, the error self-test result should be transmitted to the central control device, and the stop and start should be requested, and the following steps should be executed, as shown in Figure 10;

(1), open up byte data area;

(2), the self-test unit is cleared;

(3), detect the port data three times, and send it to the memory for storage;

(4) judge whether the three test results are consistent; if yes, perform step (5); if not, perform step (6);

(5) The self-test results are transmitted to the central control device;

(6) Adjust the valve position and return to step (3).

3. The normal shutdown control module enters the normal shutdown phase when the fuel pressure control device receives the normal shutdown signal from the central control device. During normal shutdown, turn off the regenerator control, fully open the two valves that control the regenerator, keep the pressure control to charge the battery, and upload data at the same time. When the charging is finished, it enters the restart state, and waits for the final shutdown or restart. The normal shutdown control module is executed according to the following steps, as shown in Figure 12;

(1), shut down, open the valve;

(2), set the flag;

(3), receive the CAN signal and judge the signal type; if it is the charging end signal from the central control device, perform step (4); if it is a data transmission signal from the display and communication device, then perform step (6);

(4), close all interrupts, the output of the inverter is 0;

(5) Turn off the inverter;

(6) Turn off the data transmission program, analyze and send the requested data;

(7), call series of subroutines, check the valve flag, return to step (2);

4. Parameter modification module, after the control system receives the "parameter modification" command from the upper computer, it enters the parameter modification subroutine module. First determine the serial number of the modified parameter, then extract the calibration value of the corresponding parameter, call the corresponding parameter conversion subroutine according to the calibration value, convert the parameter from the numerical type of BCD code to hexadecimal, and then save it to the parameter storage unit. The parameter modification module is executed according to the following steps, as shown in Figure 13;

(1), start;

(2), judging whether the mailboxes are all in an interrupted state, if not, return to step (2); if yes, perform step (3);

(3), clear all interrupts;

(4) Receive parameter modification instructions issued by the central control device;

(5), calling the parameter modification subroutine;

(6) The modified parameters are stored in the EEPROM and sent to the central control device.

5. The pressure control real-time monitoring module is controlled by a fuzzy PID controller and executed according to the following steps, as shown in Figure 9;

(1), the main program starts, initializes each register, and closes the total interrupt;

(2), receiving the system sent by the central control device;

(3), judge whether the system signal sent by the central control device is normal; If yes, perform step (4); if not, perform step (2);

(4), transfer other subroutines, enter the automatic operation module;

(5), judge whether the frequency converter and the valve position are normal, and send the judgment result to the central control device; if yes, perform step (6); if not, return to step (5);

(6) Start the frequency converter and adjust the pressure closed-loop control program;

(7) Send a normal signal to the central control device, and send a set of pressure data to the upper computer;

(8) Pressure control program for recombination;

(9), judge whether the stop signal is normal; If yes, perform step (10); if not, perform step (8);

(10), shutdown.

Claims (5)

1. A fuel pressure control device for a micro gas turbine, characterized in that the control device includes a TI company digital signal processor TM320LF2407A and its minimum system design, a power supply circuit, a signal detection circuit, a signal processing circuit, a communication processing circuit, and a drive output A circuit; wherein the signal processing circuit, the communication processing circuit, and the drive circuit are respectively connected to the digital signal processor; the signal detection circuit is connected to the signal processing circuit, and the communication processing circuit is connected to the central control device. 2. The control method of the fuel pressure control device of a micro gas turbine according to claim 1, characterized in that the control method includes five modules: initialization, self-check, normal shutdown control, parameter modification and pressure control real-time monitoring. 3. The control method of the fuel pressure control device of a micro gas turbine according to claim 2, characterized in that the initialization module is executed according to the following steps: (1), initialization status register, system control register; (2), watchdog reset; (3), selectively initializing part of the auxiliary register ARx; (4), CAN bus, ADC data conversion module initialization; (5), event management module initialization, general-purpose timer control register initialization, general-purpose timer initial value setting, comparison register initial value setting, period register parameter setting; (6) The working mode setting of some I/O ports, (7), set the pressure control parameters; (8) Load the parameter values of the empirical formula for heat recovery control; (9). The initialization ends. 4. The control method of the fuel pressure control device of the micro gas turbine according to claim 2, characterized in that the self-test module is executed according to the following steps: (1), open up byte data area; (2), the self-test unit is cleared; (3), detect the port data three times, and send it to the memory for storage; (4) judge whether the three test results are consistent; if yes, perform step (5); if not, perform step (6); (5) The self-test results are transmitted to the central control device; (6) Adjust the valve position and return to step (3). 5. The control method of the fuel pressure control device of the micro gas turbine according to claim 2, characterized in that the normal shutdown control module is executed according to the following steps: (1), shut down, open the valve; (2), set the flag; (3), receive the CAN signal and judge the signal type; if it is the charging end signal from the central control device, perform step (4); if it is a data transmission signal from the display and communication device, then perform step (6); (4), close all interrupts, the output of the inverter is 0; (5) Turn off the inverter; (6) Turn off the data transmission program, analyze and send the requested data; (7), call a series of subroutines, check the valve flag, and return to step (2).

Images