无刷直流电机神经元变结构PID调速系统研究  

Research on Speed Regulation System of Brushless DC Motor Based on Neuron Variable Structural PID

作　　者：周晓华[1,2] 李振强[1] 刘胜永[1,2] 

机构地区：[1]广西科技大学电气与信息工程学院,广西柳州545006 [2]广西汽车零部件与整车技术重点实验室(广西科技大学),广西柳州545006

出　　处：《电机与控制应用》2016年第1期12-16,共5页Electric machines & control application

基　　金：广西自然科学基金项目(2013GXNSFCA019020);2015年广西汽车零部件与整车技术重点实验室自主研究课题(15-A-02-01);广西高校科学技术研究项目(2013LX084)

摘　　要：针对传统PID控制的BLDCM调速系统存在响应速度慢、抗干扰能力及自适应能力差的问题,提出了一种基于神经元变结构PID的BLDCM调速系统控制策略。该控制策略用一个神经元控制算法实现变结构PID控制,同时用另一个神经元控制算法实现变结构PID控制器参数的在线调整。MATLAB仿真结果表明,所提出的控制策略能有效改善BLDCM调速系统的性能,其转速响应快,稳定性好,抗干扰能力和自适应能力强。A new speed control scheme based on neuron variable structural PID for Brushless DC Motor speed regulation system was proposed. This scheme could overcome some defects of the traditional PID control, such as lower response speed, worse anti-interference ability and adaptive ability. In the control scheme, the first neuron was used to achieve variable structural PID control, and the second neuron was used to adjust the parameters of PID controller online. The MATLAB simulation results demonstrated that this control scheme could effectively improve the performances of Brushless DC Motor speed regulation system. This control scheme had faster response speed, better stability and stronger anti-interference performance or adaptive performance.

关 键 词：无刷直流电机 调速系统 神经元变结构PID 

分 类 号：TM301.2[电气工程—电机]