Open AccessModel Free Adaptive Control of Switched Reluctance Motor for Electric Vehicle
Author(s) -
Y Mi
Publication year - 2021
Publication title -
forest chemicals review
Language(s) - English
Resource type - Journals
ISSN - 1520-0191
DOI - 10.17762/jfcr.vi.189
Subject(s) - switched reluctance motor , torque ripple , control theory (sociology) , direct torque control , torque , stall torque , computer science , engineering , voltage , control (management) , induction motor , physics , artificial intelligence , electrical engineering , thermodynamics
In this paper, the model free adaptive control method of switched reluctance motor for electric vehicle is studied. Based on the torque distribution control of SRM, a SRM control strategy based on torque current hybrid model based on RBF neural network is proposed in this paper. Based on the deviation between the dynamic average value and instantaneous value of SRM output torque, the online learning of RBF neural network is realized. At the same time, this paper constructs a torque current hybrid model, obtains the current variation law of SRM under low torque ripple operation, and reduces the torque ripple of SRM. The SRM torque distribution control is realized on the SRM experimental platform. Compared with the voltage chopper control method, the experimental results show that the torque ripple of SRM can be reduced by adopting the torque distribution control strategy.