Open AccessIntelligent Speed Regulation Control of Switched Reluctance Motor of Electric Vehicle Based on Neural Network Parameter Identification
Author(s) -
Xiaoliang Zhang
Publication year - 2021
Publication title -
forest chemicals review
Language(s) - English
Resource type - Journals
ISSN - 1520-0191
DOI - 10.17762/jfcr.vi.195
Subject(s) - switched reluctance motor , torque , reluctance motor , control theory (sociology) , computer science , electric vehicle , direct torque control , engineering , electronic speed control , control engineering , automotive engineering , induction motor , control (management) , voltage , rotor (electric) , electrical engineering , power (physics) , physics , quantum mechanics , artificial intelligence , thermodynamics
Based on the analysis of the related theories of switched reluctance motor, this paper designs and implements the intelligent speed regulation system of switched reluctance motor for electric vehicle. The speed regulation system has the characteristics of high efficiency and energy saving, wide speed regulation range and small starting current. The system also has the advantages of large starting torque, frequent start and stop, forward and reverse switching, high torque / inertia ratio and four quadrant operation. The system can provide a good solution for variable speed drive. The digital controller of the system is composed of TMS320F2812 DSP and EPM7128S CPLD, which can realize the starting, electric and braking functions of electric vehicles. Experiments show that the switched reluctance motor drive system for electric vehicle has good control performance and strong fault tolerance. The system can meet the requirements of various working conditions of electric vehicles and has broad development prospects.