基于模糊自适应PI的无刷直流电机调速系统研究  

Study on fuzzy adaptive PI based speed control system of brushless DC motor

作　　者：王正家[1,2] 何博[1] 李涛 李明[1] 何涛[1] WANG Zhengjia;HE Bo;LI Tao;LI Ming;HE Tao(Key Laboratory of Modern Manufacturing Quality Engineering,Hubei University of Technology,Wuhan 430068,China;State Key Laboratory of Digital Manufacturing Equipment and Technology,Huazhong University of Science and Technology,Wuhan 430068,China)

机构地区：[1]湖北工业大学现代制造质量工程重点实验室,湖北武汉430068 [2]华中科技大学数字制造装备与技术国家重点实验室,湖北武汉430068

出　　处：《现代电子技术》2019年第1期139-142,共4页Modern Electronics Technique

基　　金：国家自然科学基金(51275158);重点实验室开放基金(DMETKF2014015)~~

摘　　要：针对采用传统PI控制算法的无刷直流电机(BLDCM)调速系统存在精度低、抗干扰能力弱等问题,提出一种基于初始比例值优化的模糊自适应PI控制算法。建立BLDCM转速、电流双闭环调速系统数学模型,对其转速环进行模糊自适应PI控制,并提出一种初始比例值优化的方法。应用Matlab/Simulink进行系统设计和仿真,对比传统PI、普通模糊自适应PI和优化后模糊自适应PI三种控制算法的仿真结果。结果表明,优化后的模糊自适应PI控制算法使BLDCM调速系统具有更好的动态性能,达到了较好的控制效果。Since the traditional PI control algorithm based speed control system of brushless DC motor(BLDCM)has low control precision and poor anti.jamming performance,a fuzzy adaptive PI control algorithm based on initial proportionality value optimization is presented,and an initial proportionality value optimization method is proposed.The mathematical model of dual closed-loop(current and speed)speed control system of BLDCM is built.The fuzzy self-adaptive PI control is carried out for speed loop.The system is designed and simulated with Matlab/Simulink.The simulation results of traditional PI algorithm,common fuzzy adaptive PI algorithm and optimized fuzzy adaptive PI algorithm are compared.The results show that the optimized fuzzy adaptive PI control algorithm has better dynamic performance and control effect for BLDCM speed control system.

关 键 词：无刷直流电机 调速系统 初始比例值优化 模糊自适应PI控制算法 仿真 动态性能 

分 类 号：TN876-34[电子电信—信息与通信工程] TM33[电气工程—电机]