Model Predictive Control System of Switched Reluctance Motor Based on Exponential Torque Distribution Function

Abstract

The invention discloses a switched reluctance motor model predictive control system based on an exponential torque distribution function, belonging to the field of motors and control systems thereof, including: a switched reluctance motor; a position sensor for detecting the position angle of the switched reluctance motor rotor; The rotor angular velocity conversion module that converts the rotor position angle into the rotor angular velocity of the switched reluctance motor; the rotational speed calculation module that calculates the actual rotational speed of the switched reluctance motor, the PID speed controller that outputs the given torque, and the torque that outputs the three-phase reference torque The distribution function module is a model predictive control module that outputs the turn-on control signal or turn-off control signal; the power converter that controls the turn-on or turn-off of the switched reluctance motor; the system can predict the future controlled Quantitative output state can quickly improve the speed response speed of the motor and its operating performance, reduce the torque ripple during commutation, and ensure the normal operation of the motor.

Description

technical field [0001] The invention relates to the field of motors and control systems thereof, in particular to a model predictive control system for switched reluctance motors based on an exponential torque distribution function. Background technique [0002] CN110829940A A switch reluctance motor torque distribution model predictive control method, the torque distribution and model predictive control are combined, in the torque distribution, considering the compensation of the model prediction error, to obtain the reference torque of each phase, in the In the model predictive control, a cost function including the phase reference torque tracking error is constructed, and the control signal that optimizes the cost function is sought to realize the torque fluctuation suppression of the switched reluctance motor taking into account the operating efficiency. [0003] CN110880900A A method for suppressing torque ripple of a switched reluctance motor, comprising: dividing the ...

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Problems solved by technology

However, the double salient pole structure of the switched reluctance motor and the on-off switching mode of the switching power supply cause large torque ripple, which limits its development.

[0006] Due to the high nonlinearity of switched reluctance motors and the characteristics of variable structure and multivariable coupling, although the conventional torque distribution function is simple, it is difficult to achieve good control effects; although a model predictive control method for torque distribution of switched reluctance motors can Reduce the torque ripple of the system, but the cost function takes into account the influence of the current, which increases the complexity and calculation amount of the system control

[0007] A method for torque ripple suppression of switched reluctance motors uses torque compensation to reduce torque ripple, but the torque distribution function adopts a cosine type, and the conduction phase will be allocated to a larger Torque, which will increase the peak value of the stator winding current during commutation, and the appearance of these peaks will affect the performance of the motor

[0008] A direct torque control method for switched reluctance motors based on model-predicted flux linkage control is mainly to predict the current at K+1 time, the rotor position angle and flux linkage, and then realize the control of switched reluctance motors, but the system relies on the magnetic Accuracy of Chain Nonlinear Modeling

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