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Dead-beat model prediction torque control method based on discrete space vector modulation

A technology of space vector modulation and model prediction, applied in the direction of torque ripple control, vector control system, control system, etc., can solve the problems of increased calculation amount, inability to track torque and flux linkage, large amount of calculation, etc., to achieve increased reliability The effect of selecting voltage vector, reducing the number of predictions, reducing torque ripple and calculation amount

Inactive Publication Date: 2021-08-13
ZHENGZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional model predictive torque control needs to enumerate and predict the voltage vector in one sampling period, so there is a problem of large amount of calculation
In addition, due to the limited number of optional voltage vectors, the selected voltage vector may not be able to track the torque and flux linkage well, resulting in over-regulation, under-regulation and other phenomena, resulting in large torque ripple.
In order to reduce the torque ripple of the model predictive torque control method, the following two methods are usually used: one is to apply multiple voltage vectors in one control cycle, and the other is to increase the optional voltage vector, but these two methods inevitably increase the amount of computation

Method used

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  • Dead-beat model prediction torque control method based on discrete space vector modulation
  • Dead-beat model prediction torque control method based on discrete space vector modulation
  • Dead-beat model prediction torque control method based on discrete space vector modulation

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Embodiment 1

[0062] like figure 1 and figure 2 As shown, this embodiment provides a deadbeat model predictive torque control method based on discrete space vector modulation, including the following steps:

[0063] Step 1, the given rotor angular velocity ω * The deviation from the feedback rotor angular velocity ω is input to the PI controller, and the torque given value is output

[0064] Step 2: Collect the phase currents in the three-phase stationary abc coordinate system, and obtain the two-phase current i in the two-phase stationary αβ coordinate system through Clark transformation α and i β , then i α and i β The two-phase current i in the two-phase rotating dq coordinate system is obtained by Park transformation d and i q ;

[0065] Step 3, using i d and i q Perform current prediction and flux linkage observation to obtain predicted d-axis current q-axis current and magnet links

[0066] Step 4, take torque given value Flux linkage given value ψ * , d-axis cu...

Embodiment 2

[0099] This embodiment provides a deadbeat model predictive torque control system based on discrete space vector modulation, the system includes:

[0100] Speed ​​sensor for measuring the angular velocity ω of the motor rotor k ;

[0101] PI controller for a given rotor angular velocity ω * and the rotor angular velocity ω measured by the rotational speed sensor k Deviation output torque given value

[0102] The power sensing device is used for sensing the phase current of the stator three-phase winding of the motor;

[0103] The coordinate transformation module is used to convert the phase currents of the three-phase windings of the stator of the motor to obtain the two-phase current i in the two-phase static αβ coordinate system through Clark transformation α and i β , then i α and i β The two-phase current i in the two-phase rotating dq coordinate system is obtained by Park transformation d and i q ;

[0104] Torque and flux prediction module for utilizing i d ...

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Abstract

The invention provides a dead-beat model prediction torque control method based on discrete space vector modulation, belonging to the field of motor control. According to the method, two adjacent effective vectors and a zero vector are selected to synthesize a large number of virtual voltage vectors by using discrete space vector modulation; in addition, a reference voltage vector is obtained by adopting a dead beat technology, and candidate voltage vectors are calculated by performing algebraic operation on the reference voltage vector; and thus, enumeration of all the virtual voltage vectors is avoided, the number of selectable voltage vectors is increased, the number of prediction times is reduced, and torque ripple and a calculation amount are reduced.

Description

technical field [0001] The invention belongs to the field of motor control, and in particular relates to a deadbeat model prediction torque control method based on discrete space vector modulation. Background technique [0002] Permanent magnet synchronous motor (PMSM) has the advantages of simple structure, high power density and high efficiency, and has been widely used in high-precision CNC machine tools, robotics, aerospace and other fields. The model predictive torque control strategy has gradually attracted the attention of domestic and foreign experts and researchers because of its simple structure, fast dynamic response speed, and strong system robustness. [0003] The traditional model predictive torque control needs to enumerate and predict the voltage vector in one sampling period, so there is a problem of large amount of calculation. In addition, due to the limited number of optional voltage vectors, the selected voltage vector may not be able to track the torqu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P6/10H02P21/00H02P21/14H02P21/22H02P25/022H02P27/08
CPCH02P6/10H02P21/0003H02P21/14H02P21/22H02P25/022H02P27/08H02P2205/01H02P2207/05
Inventor 王要强朱亚昌董亮辉王明东王克文梁军
Owner ZHENGZHOU UNIV
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