摘要
传统新能源汽车永磁同步电机模糊控制方法仅计算永磁同步电机单一数学方程,容易导致控制效果不佳.因此,设计了基于MFO算法的新能源汽车永磁同步电机模糊控制方法.根据永磁同步电机特性,采集多种类型电机数据,并对其进行预处理,分析电机动态行为.在设计电机模糊控制器时,先计算输入变量和输出变量的隶属度函数,利用MFO算法对其进行优化,整定优化后的参数,结合模糊推理实现对永磁同步电机的模糊控制.实验结果表明,本文方法在实际应用中高低超调量仅为1.3%,且控制效果较好.
The traditional fuzzy control method of permanent magnet synchronous motor for new energy vehicles only calculates a single mathematical equation of permanent magnet synchronous motor,which easily leads to poor control effect.Therefore,a fuzzy control method of permanent magnet synchronous motor for new energy vehicles based on MFO algorithm is designed.According to the characteristics of permanent magnet synchronous motor,various types of motor data are collected and preprocessed to analyze the dynamic behavior of the motor.When designing the fuzzy controller of the motor,the membership functions of the input variables and the output variables are calculated,optimized by MFO algorithm,and the optimized parameters are set,and the fuzzy control of the permanent magnet synchronous motor is realized by combining fuzzy reasoning.The experimental results show that the high and low overshoot is only 1.3%in the practical application of this method,and the control effect is good.
作者
陈金伟
陈明福
王艳萍
CHEN Jinwei;CHEN Mingfu;WANG Yanping(Zhongying Automobile College,Quanzhou Vocational and Technical University,Quanzhou 362200,China)
出处
《常熟理工学院学报》
2024年第5期73-77,95,共6页
Journal of Changshu Institute of Technology
基金
福建省高校应用技术工程中心2022年度开放课题“基于智能车辆安全性控制关键技术研究”(CQJNY22-04)。
关键词
MFO算法
新能源汽车
永磁同步电机
模糊控制
控制方法
方法设计
MFO algorithm
new energy vehicles
permanent magnet synchronous motor
fuzzy control
control methods
method design
