학술논문

A Method of Torque Ripple Suppression of SRM based on Model Predictive Control
Document Type
Conference
Source
2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2021 IEEE International Conference on. :229-234 Nov, 2021
Subject
Power, Energy and Industry Applications
Couplings
Torque
Switched reluctance motors
Predictive models
Cost function
Mathematical models
Table lookup
Switched reluctance motor
torque ripple
Model predictive control
Language
Abstract
In this paper, the suppression effect of model predictive control (MPC) algorithm on torque ripple of switched reluctance motor (SRM) is studied. Firstly, the flux linkage characteristics and static torque characteristics of SRM are obtained, and the mathematical model of SRM is established. Then the cost function is established to reduce torque ripple. Through the optimization calculation of the cost function, the control signal of minimizing the cost function is obtained. In the calculation stage of flux and torque prediction, compared with the traditional SRM model, the two-dimensional look-up table method is used to improve the accuracy of prediction. The principle of the control strategy is introduced, the simulation model is established, and the simulation results are compared with the traditional CCC control.