无刷直流电机自适应模糊PID控制及仿真  

Brushless DC motor self-adaptive fuzzy PID control and simulation

作　　者：杜荣华[1,2] 朱昭[2] 舒雄[2] 舒刚华 李亚中[2] 

机构地区：[1]长沙理工大学智能交通与车路协同技术研究所,湖南长沙410004 [2]长沙理工大学工程车辆轻量化与可靠性技术重点实验室,湖南长沙410004

出　　处：《长沙理工大学学报（自然科学版）》2014年第2期60-66,共7页Journal of Changsha University of Science and Technology:Natural Science

基　　金：国家自然科学基金资助项目(11272067);湖南省教育厅科研重点资助项目(10A003);长沙理工大学汽车与机械工程学院研究生科学研究基金项目(12QJY03)

摘　　要：针对iECar永磁无刷直流电机转速PID控制精度低、控制不稳定和响应滞后等缺点,介绍了一种具有智能性质的自适应模糊PID控制器设计思路,提出了一种模糊控制器量化因子与比例因子整定的新方法。通过模糊推理方法实时调整PID控制器的比例、积分、微分3个参数,以实现电机转速输出的有效控制。最后,在Matlab/Simulink环境下构建了iECar无刷直流电机转速自适应模糊PID控制模型。仿真结果表明,自适应模糊PID控制效果较传统PID控制有明显的改善,显示了该控制器良好的鲁棒性、稳定性和动态响应特性。According to the iECar permanent magnet brushless DC motor speed PID control weaknesses such as low accuracy,control instability,response lag,a kind of intelligent a-daptive fuzzy PID controller design method is introducted,a new method about turning quantitative factor and scaling factor of fuzzy controller is proposed.To adj ust PID control-ler proportional,integral,differential three parameters for real-time by fuzzy reasoning method and achieve the effective control of motor speed output.Finally,the brushless DC motor speed adaptive fuzzy PID control model is constructed under the matlab/simulink en-vironment,the results of simulation indicate that the self-adaptive fuzzy PID control is im-proved obviously than traditional PID control,showing the robustness,stability and dy-namic response of the controller.

关 键 词：自适应模糊控制器 比例积分微分控制 量化因子 比例因子 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]