CN108448952A - A kind of energy the Internet switch magnetic resistance motor rotor location estimation method - Google Patents
A kind of energy the Internet switch magnetic resistance motor rotor location estimation method Download PDFInfo
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- CN108448952A CN108448952A CN201810451515.1A CN201810451515A CN108448952A CN 108448952 A CN108448952 A CN 108448952A CN 201810451515 A CN201810451515 A CN 201810451515A CN 108448952 A CN108448952 A CN 108448952A
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000001514 detection method Methods 0.000 claims abstract description 5
- 238000004804 winding Methods 0.000 claims description 26
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 239000000203 mixture Substances 0.000 claims description 4
- 230000001537 neural effect Effects 0.000 claims description 3
- 230000004913 activation Effects 0.000 claims description 2
- 230000005611 electricity Effects 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 claims 4
- 230000015572 biosynthetic process Effects 0.000 claims 2
- 238000003384 imaging method Methods 0.000 claims 2
- 238000003786 synthesis reaction Methods 0.000 claims 2
- 239000002131 composite material Substances 0.000 claims 1
- 238000000205 computational method Methods 0.000 claims 1
- 238000005070 sampling Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000005389 magnetism Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 239000000725 suspension Substances 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P6/00—Arrangements for controlling synchronous motors or other dynamo-electric motors using electronic commutation dependent on the rotor position; Electronic commutators therefor
- H02P6/14—Electronic commutators
- H02P6/16—Circuit arrangements for detecting position
- H02P6/18—Circuit arrangements for detecting position without separate position detecting elements
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P23/00—Arrangements or methods for the control of AC motors characterised by a control method other than vector control
- H02P23/14—Estimation or adaptation of motor parameters, e.g. rotor time constant, flux, speed, current or voltage
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P2203/00—Indexing scheme relating to controlling arrangements characterised by the means for detecting the position of the rotor
- H02P2203/01—Motor rotor position determination based on the detected or calculated phase inductance, e.g. for a Switched Reluctance Motor
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P2203/00—Indexing scheme relating to controlling arrangements characterised by the means for detecting the position of the rotor
- H02P2203/03—Determination of the rotor position, e.g. initial rotor position, during standstill or low speed operation
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P2203/00—Indexing scheme relating to controlling arrangements characterised by the means for detecting the position of the rotor
- H02P2203/09—Motor speed determination based on the current and/or voltage without using a tachogenerator or a physical encoder
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Control Of Electric Motors In General (AREA)
Abstract
The present invention discloses a kind of energy the Internet switch magnetic resistance motor rotor location estimation method, belongs to Motor Control Field.The present invention compares Conventional switched reluctance motor position detection method, and switched reluctance machines can be made to have in complicated severe application environment and be preferably applicable in ability.The present invention is made of switched reluctance machines ontology, power inverter and controller, and by the way that current-voltage sampling, rotor-position is calculated, rotor-position is detected without position sensor.The obtained rotor-position of switch magnetoresistance motor rotor position method of estimation of the present invention more coincide with actual switch magnetic resistance motor rotor position；The control method has many advantages, such as without additional hardware equipment, is not necessarily to special circuit structure simultaneously.
Description
Technical field
The present invention relates to a kind of energy the Internet switch magnetic resistance motor rotor location estimation methods, belong to energy internet and open
Close the technical field of reluctance motor control.
Background technology
Switched reluctance machines in recent years by it is more and more applied rail traffic, magnetic suspension system, air line,
The fields such as military project.Wherein switched relutance linear motor due to its is firm in structure, high reliability, good fault-tolerance, without permanent magnetism material
The advantages such as material, stator concentratred winding, become research hotspot in recent years.Ensure switched reluctance machines reliability service and high property
It can control, just must accurately obtain rotor position information.In traditional driving system for switched reluctance as a result of turn
Sub- position sensor affects the reliability of governing system, provides cost, increases the difficulty of installation and debugging, therefore study
Position-less sensor of switched reluctance motor calculating is of great significance.
Domestic and foreign scholars have done numerous studies in the field in the past 20 years, and various control side is proposed for different rotating speeds range
Case.Wherein include mainly following several：Modulation /demodulation method, high-frequency impulse injection method, alternate mutual inductance detection method, electric current magnetic linkage method,
Inductor models method, is based on a variety of location estimation methods such as intelligent control and observer at the counter electromotive force estimation technique.
Invention content
In view of the above technology the problem of, the present invention propose a kind of switching magnetic-resistance suitable for wider velocity interval
Motor rotor position method of estimation, without additional hardware device, without special circuit structure, it is only necessary to detect motor electricity
Stream and voltage, can be obtained by calculation rotor-position.
To realize the above-mentioned technical purpose, the present invention, which adopts the following technical scheme that, is achieved：
A kind of switch magnetoresistance motor rotor position method of estimation, includes the following steps：
(1) driving switch reluctance motor operates in Controlling Intermittent Current pattern；
(2) according to the phase current of each phase winding of switched reluctance machines and each wound rotor position of phase voltage calculation；
(3) according to the Composition of each phase testing result entirety.
As a kind of scheme that advanced optimizes of the switch magnetoresistance motor rotor position method of estimation, step (1) driving
The method that switched reluctance machines operate in discontinuous current operating mode is：Driving switch reluctance motor operates in Current cut control
Under pattern, control main circuit device is turned on and off repeatedly to limit conducting section electric current between given bound；
Driving switch reluctance motor operates under voltage chopping control model, and control main circuit device is turned on and off repeatedly to control
Motor speed.
Further, a kind of switch magnetoresistance motor rotor position method of estimation advanced optimizes scheme, step (2)
Method according to the phase current of each phase winding of switched reluctance machines and each wound rotor position of phase voltage calculation is：According to winding
Electric current and voltage calculate winding magnetic linkage, and electric current and magnetic linkage are input to neural computing and obtain rotor-position, to each phase winding
It is carried out at the same time identical calculating, obtains the estimation rotor-position of each phase.
Further, a kind of switch magnetoresistance motor rotor position method of estimation advanced optimizes scheme, step
(3) it is according to the method for the Composition entirety of each phase testing result：According to the rotor position estimate of each phase of synchronization as a result,
In conjunction with electric machine structure feature, analysis obtains the integration method of rotor-position, calculates full rotor position.
Description of the drawings
Fig. 1 is switched reluctance machines Controlling Intermittent Current ideograph.
Fig. 2 is each phase position calculating figure of switched reluctance machines.
Fig. 3 is that switch magnetoresistance motor rotor position integrates flow chart.
Fig. 4 is the rotor position estimate result figure of the present invention.
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings：
Voltage and current of the detection switch reluctance motor of the present invention per phase winding, each phase is obtained by neural computing
Estimation rotor-position, the estimation rotor position of each phase is compared and analyzed, full rotor location information is obtained.
Fig. 1 show switched reluctance machines Controlling Intermittent Current ideograph.Within each inductance period, in inductance rising area
Winding is connected, and generates electric current, generates positive torque, is turned off in inductance descending area winding, and electric current is decreased to zero, avoids negative torque, because
This electric current is interrupted.
Fig. 2 show each phase position calculating figure of switched reluctance machines.Because electric current is interrupted, in the section for having electric current
The calculating of rotor-position can be carried out, and in the section of not electric current, the result of calculation of rotor-position is zero, each symmetrical therefore inspection
It is symmetrical to survey result.The flux linkage calculation formula of switched reluctance machines is
ψ=∫ (u-iR) dt (1)
In formula, Ψ is magnetic linkage, and u is phase voltage, and i is phase current, and R is winding resistance.
The output angle of switched reluctance machines position detection neural network is
θ (i, ψ)=f1(W1f2(W2I-h1)-h2) (2)
In formula, W1And W2For network connection weights, h1And h2For threshold value, f1And f2For activation primitive, I is network inputs.
Fig. 3 show switch magnetoresistance motor rotor position and integrates flow chart.It, will when the result of calculation of a certain phase is 30 degree
This is mutually used as benchmark phase, and the result of calculation of the phase is exactly the rotor position of the phase, and the rotor position of remaining phase is according to the phase
Rotor position and electric machine structure feature be calculated, the calculation formula of remaining two-phase is：
In formula, θA, θB, θC, the respectively estimation rotor-position of A, B, C three-phase.
Fig. 4 show the rotor position estimate result figure of the present invention.It can be in non-use position sensor by the above method
In the case of, by calculating, obtain the estimated result of switch magnetoresistance motor rotor position.
Claims (6)
1. a kind of energy the Internet switch magnetic resistance motor rotor location estimation method, which is characterized in that include the following steps：(1)
Driving switch reluctance motor operates in Controlling Intermittent Current pattern：Current cut control, voltage chopping control, Angle-domain imaging
(2) according to the phase current of each phase winding of switched reluctance machines and phase voltage calculation winding magnetic linkage, then by the phase of each phase winding electricity
Stream and phase magnetic linkage be input to god by network, through neural computing to obtain each winding rotor-position estimated value (3) root
Composition according to the estimation result of each phase winding is whole.
2. a kind of energy the Internet switch magnetic resistance motor rotor location estimation method according to claim 1, feature exist
In：The method that step (1) driving switch reluctance motor operates in Controlling Intermittent Current pattern is divided into Current cut control, voltage is cut
Wave control, Angle-domain imaging, under different control modes, control motor normal operation, on this basis, detect each phase around
The phase voltage and phase current of group, and then carry out rotor position estimate.
3. a kind of energy the Internet switch magnetic resistance motor rotor location estimation method according to claim 1, feature exist
In：Step (2) is made integral operation within the complete electric period, is obtained according to the phase current and phase voltage of each phase winding of switched reluctance machines
Calculation formula to the magnetic linkage of each phase winding, winding magnetic linkage is：Ψ=∫ (u-iR) dt, in formula, Ψ is magnetic linkage, and u is phase voltage, i
For phase current, R is winding resistance.Each wound rotor position, computational methods are calculated by the magnetic linkage of each phase winding and phase current again
Using neural network algorithm.
4. a kind of energy the Internet switch magnetic resistance motor rotor location estimation method according to claim 1, feature exist
In：Electric current, the magnetic linkage in operational process are input to neural network in step (2), the transmission function through hidden layer and output layer
Transmission function and connection weight duty and threshold value calculating, obtain rotor-position, the calculation formula of neural network is：θ=f1
(W1f2(W2I-h2)-h1), in formula, W1And W2For network connection weights, h1And h2For threshold value, f1And f2For activation primitive, I is network
Input.Input layer number is 2, node in hidden layer 4, and output layer number of nodes is 1, and hidden layer transmission function is logsig,
Output layer transmission function is tansig.
5. a kind of energy the Internet switch magnetic resistance motor rotor location estimation method according to claim 1, feature exist
In：Step (3) is whole according to the Composition of each phase testing result, needs that each phase position detection will be carried out, and detects each
Carry out rotor-position synthesis after the rotor position of phase again, when synthesis will be counted according to the design feature of switched reluctance machines
It calculates, reluctance motor is closed to three-phase sixty and forty percent, composite formula is：θB=θA- 30, θC=θA- 60, in formula, θA, θB, θC, respectively
A, the estimation rotor-position of B, C three-phase.
6. realize a kind of system of energy the Internet switch magnetic resistance motor rotor location estimation method described in claim 1,
It is characterized in that, including：Voltage sensor for measuring each phase winding phase voltage, the electric current for measuring each phase winding phase current
Sensor, and the DSP control module according to each phase winding phase voltage and phase current generation main circuit device drive signal.It is described
DSP control module：Driving switch reluctance motor operates in discontinuous current operating mode, calculates each phase winding complete period magnetic linkage value,
The phase voltage current value for detecting each phase winding, calculates the estimated value of each phase winding, calculates the conjunction of switch magnetoresistance motor rotor position
At estimated value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810451515.1A CN108448952A (en) | 2018-05-12 | 2018-05-12 | A kind of energy the Internet switch magnetic resistance motor rotor location estimation method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810451515.1A CN108448952A (en) | 2018-05-12 | 2018-05-12 | A kind of energy the Internet switch magnetic resistance motor rotor location estimation method |
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| CN108448952A true CN108448952A (en) | 2018-08-24 |
Family
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Family Applications (1)
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| CN201810451515.1A Pending CN108448952A (en) | 2018-05-12 | 2018-05-12 | A kind of energy the Internet switch magnetic resistance motor rotor location estimation method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109257000A (en) * | 2018-11-15 | 2019-01-22 | 中国矿业大学 | A kind of switched reluctance machines wide speed range mixing method for controlling speed regulation |
| CN109586647A (en) * | 2018-12-19 | 2019-04-05 | 安徽弘浩节能科技有限公司 | Switched reluctance machines variable speed energy saving control method and its device |
| CN113472264A (en) * | 2021-07-09 | 2021-10-01 | 扬州大学 | Linear switch reluctance motor rotor position estimation method under rotor offset condition |
Citations (4)
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|---|---|---|---|---|
| CN102509152A (en) * | 2011-11-08 | 2012-06-20 | 南京航空航天大学 | Switched reluctance motor on-line modeling method based RBF neural network |
| CN103633903A (en) * | 2013-12-05 | 2014-03-12 | 江苏大学 | Self-detection method for positions of rotors of switched reluctance motors |
| CN105827161A (en) * | 2016-05-25 | 2016-08-03 | 南京航空航天大学 | Switched reluctance motor sensorless rotor position estimation method |
| CN107733302A (en) * | 2017-09-13 | 2018-02-23 | 天津工业大学 | Device and method for positionless control of switched reluctance motor |
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2018
- 2018-05-12 CN CN201810451515.1A patent/CN108448952A/en active Pending
Patent Citations (4)
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| CN102509152A (en) * | 2011-11-08 | 2012-06-20 | 南京航空航天大学 | Switched reluctance motor on-line modeling method based RBF neural network |
| CN103633903A (en) * | 2013-12-05 | 2014-03-12 | 江苏大学 | Self-detection method for positions of rotors of switched reluctance motors |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109257000A (en) * | 2018-11-15 | 2019-01-22 | 中国矿业大学 | A kind of switched reluctance machines wide speed range mixing method for controlling speed regulation |
| CN109257000B (en) * | 2018-11-15 | 2021-07-16 | 中国矿业大学 | A hybrid speed control method for switched reluctance motor with wide speed range |
| CN109586647A (en) * | 2018-12-19 | 2019-04-05 | 安徽弘浩节能科技有限公司 | Switched reluctance machines variable speed energy saving control method and its device |
| CN109586647B (en) * | 2018-12-19 | 2021-12-07 | 安徽弘浩节能科技有限公司 | Speed-regulating energy-saving control method and device for switched reluctance motor |
| CN113472264A (en) * | 2021-07-09 | 2021-10-01 | 扬州大学 | Linear switch reluctance motor rotor position estimation method under rotor offset condition |
| CN113472264B (en) * | 2021-07-09 | 2023-05-30 | 扬州大学 | Linear switch reluctance motor rotor position estimation method under rotor offset condition |
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Application publication date: 20180824 |
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