SUMMERY OF THE UTILITY MODEL
The utility model provides an energy-saving optic fibre laser drive power supply technique, its characteristics are that combine flexible drive power supply design, utilize intelligent algorithm, according to the particularity of individual application scene, adjust the operating condition of driving source to reduce the energy consumption of whole fiber laser.
For solving the technical problem, the utility model discloses a following technical scheme:
a driving power supply of a fiber laser, comprising: the device comprises a central processing unit, a direct current conversion power supply 2, a digital-analog signal conversion chip 3, a voltage-controlled current source 4, a sampling feedback circuit 5, an environment sensing circuit 6 and a signal receiving circuit 7;
the central processor controls the current output of the voltage-controlled current source 4 through the digital-analog signal conversion chip 3;
the direct current conversion power supply 2 is a pulse width modulated linear voltage stabilization power supply structure and provides working voltage for the laser diode 9;
the central processing unit controls the voltage-adjustable direct current conversion power supply 2 through the digital potentiometer 8, and controls the frequency and the duty ratio of a pulse width modulation signal output by the direct current conversion power supply 2;
the voltage-controlled current source 4 provides working current for a laser diode 9 used for pumping optical fibers in the optical fiber laser;
the sampling feedback circuit 5 is used for sampling the working voltage and the working current of the laser diode 9 and feeding back the working voltage and the working current to the central processing unit;
the signal receiving circuit 7 is used for receiving set parameter information;
the environment sensing circuit 6 collects the environment temperature, the working temperature of the laser diode 9, the working distance, the scattering loss coefficient of the transmission light path and the output power parameter of the optical fiber laser through a sensor, inputs the parameters into the central processing unit, compares the parameters with the set parameter information received by the signal receiving circuit 7, and uses the comparison result for operation.
Furthermore, the central processing unit is a Digital Signal Processor (DSP) with high-speed data processing capability or a Microcontroller (MCU) with a built-in DSP.
The utility model discloses the beneficial effect who brings: compare in existing drive power supply technique, the utility model discloses combine flexible drive circuit design and intelligent algorithm, through the situation perception to fiber laser service environment, obtain best fiber laser output power to reach energy-conserving effect. The energy-saving mode can effectively reduce the energy consumption of the space communication fiber laser and improve the cruising ability of the whole equipment under the condition that the performance of the existing material is difficult to be obviously improved.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
The utility model discloses constitute by flexible power hardware component and the intelligent energy-conserving algorithm to fiber laser. The basic hardware structure is shown in fig. 1, and the device comprises a central processing unit which is composed of seven parts, namely a digital signal processor 1(DSP) with high-speed data processing capability or a Microcontroller (MCU) with a built-in DSP, a voltage-adjustable direct current conversion power supply (DC/DC)2, a digital-to-analog signal conversion chip (DAC)3, a voltage-controlled current source 4, a sampling feedback circuit 5, an environment sensing circuit 6 and a signal receiving circuit 7. The laser diode 9 for pumping the fiber is powered by the voltage controlled current source 4. Generally speaking, the complexity of the application scenario of the energy-saving fiber laser is not high, and the complex intelligent algorithm itself consumes much energy, balancing the two considerations. As shown in FIG. 3, the intelligent algorithm of the present invention is composed of 3-5 layers of neural networks, each layer of neural network only contains 5-10 nodes. The simple neural network algorithm is suitable for the capacity of the digital signal processor 1, a high-level operating system is not required, and the calculation speed can meet the application requirements of the optical fiber laser in different scenes.
As shown in fig. 2, the voltage-adjustable dc conversion power supply 2 adopts a Pulse Width Modulation (PWM) linear regulator structure. The control signal output by the digital signal processor 1 controls the PWM pulse generating chip 10 to generate a PWM pulse signal with controllable pulse width. The PWM pulse signal controls the high-speed switching time of the field effect transistor 12, and the converted voltage is output through the transformer coil 11. The digital signal processor 1 can adjust the output voltage of the dc conversion power supply 2 by the digital potentiometer 8. And according to the difference of the set output voltage, the digital signal processor 1 controls the frequency and the duty ratio of the pulse width modulation signal to obtain the optimal voltage conversion efficiency.
The digital signal processor 1 controls the current output of the voltage-controlled current source 4 through the digital-analog signal conversion chip 3, thereby controlling the current injection of the fiber laser and finally adjusting the energy consumption of the fiber laser.
In the design of the flexible driving power supply, the sampling feedback circuit 5, the environment sensing circuit 6 and the signal receiving circuit 7 are used for detecting the set current, the environment temperature and the signal transmission effect so as to determine whether the current driving current is proper and accurate.
Through the perception to operating condition multi-parameter, the energy consumption of intelligent regulation fiber laser is the utility model discloses a core. For a fiber laser for spatial communication, the communication distance, the ambient temperature, suspended matter in the laser transmission path, the laser alignment accuracy, the communication code, and the like all have an influence on the intensity of the laser signal. In order to ensure that the optical fiber laser has good communication speed under the worst condition, the laser output power is usually set to be very high, and the power consumption of the optical fiber laser is greatly increased. On the other hand, due to the complexity of the communication environment, it is very difficult to predict the laser output power of the laser in advance under different working environments. Therefore, the utility model discloses in, adopt high-speed digital signal processor 1 and intelligent algorithm, combine the design of flexible driving source, realize under different service environment and the state, appropriate optic fibre laser output to finally reduce fiber laser's consumption, reach energy-conserving purpose.
The specific intelligent algorithm is represented by a 3-5 layer neural network as shown in figure 3, and each layer of network only comprises 5-10 network nodes. The communication distance, the ambient temperature, the signal return light intensity, the communication rate and the alignment error are used as input parameters x (1,5), and the bit error rate is used as an output parameter y. The laser output power is used as a regulating parameter, a specific neural network model is obtained by dynamic optimization of a neural network related parameter beta (i is 1, 5; j is 1,5) [ 5 network nodes are assumed, and beta is a network related parameter related to the laser power ], and the neural network model is recorded in a memory and is used as a practical energy-saving model. The optimization equation can be expressed as: y ═ Π β (1, j) x (1, j) + Π β (2, j) x (1, j) + … }. Through iteration, the optimal β (i-1, 5; j-1, 5) parameter is calculated so that Δ y is minimized. In order to reduce the operation load of the high-speed digital signal processor of the terminal, the optimization solution of the initial neural network can be executed in the central workstation, and after the first-stage model is obtained, the high-speed digital signal processor of the terminal is used for fine adjustment.
The first embodiment is as follows: driving power supply of optical fiber laser for inter-satellite communication
As shown in fig. 4, the digital signal processor 1 of the driving power supply in the present embodiment employs a DSP (high-speed digital signal processor) model TMS320C5441 by TI corporation, and has a computation capability of 16-bit fixed point number and 532 MIPS. The power conversion module 14 adopts a CQS24120-12 model DC/DC of COSEL company, the input of which is 24V, and the output of which is 12V/12A direct current. The voltage conversion module 13 can adjust the output voltage signal V1 through the output digital potentiometer 8. The adjustment of the current is performed by the digital output pin of the digital signal processor 1 to output a voltage signal V2 through the digital-to-analog signal conversion chip 3. The voltage signal V2 is used to adjust the output current I1 via the voltage-controlled current source 4.
The output voltage V1 and the output current I1 are sampled by a sampling and analog signal conversion chip 14, converted into digital signals by an AD conversion chip and then returned to the digital signal processor 1, and the digital signal processor 1 performs operation according to an intelligent algorithm.
The environment sensing circuit 6 collects parameters such as environment temperature, working temperature of the laser diode 9, working distance, scattering loss coefficient of a transmission light path, output power of the fiber laser and the like through the sensor 15, compares the parameters with the received signals in the signal receiving circuit 7, and determines the adjustment amplitude of the voltage V1 and the voltage I1 according to the result of the comparison by an intelligent algorithm.
The power circuit comprises conventional overcurrent, overtemperature and overvoltage protection circuit units.
The intelligent algorithm adopts a Back Propagation (BP) neural network learning algorithm based on Bayesian regularization. The neural network is divided into 5 layers, each layer is composed of 5 nodes, the correction coefficient is 0.85 through repeated learning in the simulated aerospace environment, the energy-saving efficiency is improved by 15% compared with a driving power supply without an intelligent algorithm, and the energy-saving method has the obvious energy-saving advantage.
Example two: the unmanned aerial vehicle goes up the drive power supply of laser for laser radar fiber laser.
As shown in fig. 5, since the complexity of the flight environment of the unmanned aerial vehicle is very high, the digital signal processor 1 of the driving power supply in this embodiment is ADSP-BF542 of ADI corporation with an Artificial Intelligence (AI) algorithm built therein, and has a floating point operation speed of 1200MIPS, and has a highly complex parallel processing capability. The power supply module is a PWM control direct current power supply 16, the input range is 48-60V/1A, and the output is 5V/5A. The digital signal processor 1 may internally generate a PWM signal for PWM controlling the output voltage and current of the dc power supply 16. The PWM controlled DC power supply 16 is followed by a rectifying circuit 17 and a voltage stabilizing circuit 18 for providing stable DC to the DSP and the arithmetic circuit. The digital signal processor 1 outputs a set voltage from a digital-to-analog signal conversion chip (AD53X) through a control pin, and supplies power to the laser diode 9 through the voltage-controlled current source 4. The voltage-controlled current source 4 is composed of a high-precision operational amplifier AD8502 and an N-channel MOSFET.
The driving power supply described in this embodiment further includes an environment sensing circuit 6, which includes a temperature sensor, a GPS signal, map information, and a communication decoding circuit, and is used to obtain the environment information of the cloud. The intelligent algorithm calculates the output voltage and current of the driving power supply according to the measurement result of the laser radar 19 and the environment sensing parameter, and the purpose of energy conservation is achieved. The driving power supply can not only supply power for the fiber laser, but also supply power for the laser radar 19 and the data acquisition system, and a unified energy-saving target is realized.
The intelligent algorithm utilizes an AI function built in the DSP and combines with a TensorFlow calculation module to construct a machine learning algorithm based on data flow, complete calculation of large data volume of 10 layers of networks and 50 nodes, and report a calculation result and a data center (cloud). Firstly, primary optimization is completed on a ground workstation to form an optimized data matrix of 10x50, and after the optimized data matrix is written into a central control chip, rear-end optimization is completed when the laser radar 19 of the unmanned aerial vehicle works, so that energy conservation is realized.
The above-described embodiments are only intended to illustrate the present invention, and not to limit the present invention, and any person skilled in the art can make various modifications, changes or substitutions without departing from the technical scope of the present invention, so all equivalent technical methods are intended to be covered by the scope of the present invention.