论文:2016,Vol:34,Issue(2):313-320
引用本文:
杨剑威, 窦满峰, 骆光照, 赵冬冬. 高空螺旋桨无刷直流电机重置粒子群PID控制[J]. 西北工业大学学报
Yang Jianwei, Dou Manfeng, Luo Guangzhao, Zhao Dongdong. A Reset Particle Swarm Optimization PID Control of Permanent Magnet BLDC Motor for Airscrew Load[J]. Northwestern polytechnical university

高空螺旋桨无刷直流电机重置粒子群PID控制
杨剑威, 窦满峰, 骆光照, 赵冬冬
西北工业大学 自动化学院, 陕西 西安 710072
摘要:
永磁无刷直流电机驱动高空螺旋桨负载时,由于大气密度随海拔高度变化,电机转速随螺旋桨负载变化不断波动,传统定参数PID控制难以随环境变化对电驱动系统PID控制参数进行实时调整,系统的动态特性和鲁棒性较差。提出一种基于BFGS(Broyden-Fletcher-Goldfarb-Shanno)动态重置粒子群算法(BFGS-RPSO)的永磁无刷直流电机PID参数控制方法,该方法利用BFGS-RPSO算法灵活快速的在线参数寻优特点,对永磁无刷直流电机控制系统PID参数进行在线实时优化调整,提高了螺旋桨负载电驱动系统的动态特性和鲁棒性。Matlab仿真和实验表明,电机在起动过程中,转速上升时间较短,转速和转矩超调较小,且在负载波动过程中电机转矩脉动较小,BFGS-RPSO PID参数控制比传统PID 控制具有更好的动态特性和鲁棒性,适合应用于高空螺旋桨永磁无刷直流电机螺旋桨电驱动系统。
关键词:    永磁无刷直流电机    电驱动系统    高空螺旋桨    重置粒子群算法    PID参数控制   
A Reset Particle Swarm Optimization PID Control of Permanent Magnet BLDC Motor for Airscrew Load
Yang Jianwei, Dou Manfeng, Luo Guangzhao, Zhao Dongdong
Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
When permanent magnet brushless DC motor (PMBLDCM) drive high altitude airscrew load, due to the change in atmospheric density with altitude and the frequent fluctuations of airscrew load torque, the traditional given-parameter PID control meets difficulty in the real-time adjustment of the PID parameters of electric power drive systems (EPDS) with environmental change; so the dynamic characteristics and robustness of system is poor. To solve the problem, a novel PID control method based on the BFGS-RPSO algorithm is proposed. The method uses of flexible global and fast local search optimization of BFGS-RPSO algorithm to online optimize the PID parameters of PMBLDCM control system and improve the dynamic characteristics and robustness of electric drive systems with airscrew load. Matlab simulation and experimental results show that the rise time of speed is shorter and the overshoot of speed and torque is less during starting the motor. Besides, the torque ripple is smaller in load fluctuation. The dynamic characteristics and robustness of BFGS-RPSO PID parameter control are better than those of traditional PID control. The method is feasible for the EPDS of PMBLDCM with propeller load.
Key words:    algorithm    angular velocity    brushless DC motor    controllers    design of experiments    experiments    global optimization    MATLAB    optimization    particle swarm optimization (PSO)    permanent magnet    propellers    pulse width modulation    robustness(control systems)    three term control systems    torque    airscrew load    BFGS(Broyden-Fletcher-Goldfarb-Shanno)    BFGS-RPSO    EPDS(Electric power drive systems)    MSR(maximum swarm radius)    PMBLDCM   
收稿日期: 2015-10-20     修回日期:
DOI:
基金项目: 国家自然科学基金(51507143)与陕西省工业科技攻关项目(2015GY090)资助
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作者简介: 杨剑威(1986-),西北工业大学博士研究生,主要从事电机控制与电力电子研究。
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