| 无刷直流电机自适应模糊PID控制及仿真 |
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| 引用本文： | 杜荣华,朱昭,舒雄,舒刚华,李亚中.无刷直流电机自适应模糊PID控制及仿真[J].长沙理工大学学报(自然科学版),2014(2):60-66. |
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| 作者姓名： | 杜荣华 朱昭 舒雄 舒刚华 李亚中 |
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| 作者单位： | [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 |
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| 基金项目： | 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） |
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| 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。
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| 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 |
Brushless DC motor self-adaptive fuzzy PID control and simulation |
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| DU Rong-hua,ZHU Zhao,SHU Xiong,SHU Gang-hua,LI Ya-zhong.Brushless DC motor self-adaptive fuzzy PID control and simulation[J].Journal of Changsha University of Science and Technology:Natural Science,2014(2):60-66. |
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| Authors: | DU Rong-hua ZHU Zhao SHU Xiong SHU Gang-hua LI Ya-zhong |
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| Affiliation: | 1.Institute of Intelligent Traffic and Cooperative Vehicle-Infrastructure Systems, Changsha University of Science and Technology, Changsha 410004,China; 2.Key Laboratory of Engineering Vehicle Lightweight and Reliability Technology,Changsha University of Science and Technology, Changsha 410004,China) |
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| Abstract: | 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. |
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| Keywords: | fuzzy PID parameters of self-turning PID control quantitative factor scaling factor |
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