Finite control set model predictive control of torque ripple reduction for BLDCM
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1. Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093; 2. College of Innovation and Entrepreneurship, University of Shanghai for Science and Technology, Shanghai 200093; 3. Shanghai Awinic Technology Co., Ltd, Shanghai 201199

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TM306;TN06

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    Abstract:

    Aiming at the problem of large commutation torque ripple of brushless direct current motor (BLDCM) under six-pulse drive mode, a torque ripple suppression algorithm based on finite set model predictive control (FCS-MPC) is designed. Firstly, the characteristics of non-commutation current are predicted. Then, the value function is used to select the best switch state of driving circuit to suppress the ripple of the non-commutation current. The experimental results show that, when using the torque ripple suppression algorithm designed in this paper, the torque ripple deviation ratio of BLDCM is 4.04% at high speed and 0.88% at low speed, which means that the algorithm designed in this paper has good commutation torque ripple suppression effect whether the motor is running at high speed or low speed.

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  • Received:
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  • Online: October 15,2024
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