现代电子技术2024，Vol.47Issue(24)：18-24,7.DOI:10.16652/j.issn.1004-373x.2024.24.004
基于模糊T-S型内模PID控制算法的无刷直流电机仿真分析
BLDCM simulation analysis based on fuzzy T-S internal model PID control algorithm
摘要
Abstract
A driving method combining fuzzy neural network and internal model control is proposed to address the problems of slow control response speed and large speed fluctuations of brushless DC motor(BLDCM)dual closed-loop control speed regulation system.In this method,Matlab/Simulink is used to construct the simulation model of elevator integrated governor based on BLDCM and controller,and the speed and torque response curves of BLDCM are obtained.The simulation analysis and results show that fuzzy T-S(Takagi-Sugeno)internal model PID control algorithm is superior to internal model PID control algorithm and conventional double closed loop PID control system in response speed,speed error,anti-interference ability and control precision.This research can accumulate experience for the application of fuzzy neural network T-S internal model PID algorithm in elevator integrated speed limiter.关键词
无刷直流电机/模糊T-S/内模PID控制/双闭环控制系统/模糊神经网络/电梯限速器Key words
brushless DC motor/fuzzy T-S/internal model PID control/double closed loop control system/fuzzy neural network/elevator governor分类
电子信息工程引用本文复制引用
孙崇智,吴永伟,安建民,杨佳,郭伟伟..基于模糊T-S型内模PID控制算法的无刷直流电机仿真分析[J].现代电子技术,2024,47(24):18-24,7.基金项目
甘肃省市场监督管理局科技计划资助(SSCJG-TS-A202204) （SSCJG-TS-A202204）
