| 无刷直流电机模糊自整定PID控制研究及仿真 |
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| 引用本文： | 章涛,张巍,忻尚芝,沈天宇. 无刷直流电机模糊自整定PID控制研究及仿真[J]. 电子测量技术, 2017, 40(8): 66-71 |
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| 作者姓名： | 章涛 张巍 忻尚芝 沈天宇 |
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| 作者单位： | 上海理工大学 光电信息与计算机工程学院 上海 200093,上海理工大学 光电信息与计算机工程学院 上海 200093,上海理工大学 光电信息与计算机工程学院 上海 200093,上海理工大学 光电信息与计算机工程学院 上海 200093 |
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| 摘 要： | 针对新能源汽车中的广泛采用的无刷直流电机的控制系统具有时变性、非线性、耦合强以及变量多等特点,基于无刷直流电机的数学模型,提出了一种简单实用的控制策略,即模糊自整定PID控制的闭环转速控制方案.该算法通过模糊逻辑语句创建模糊控制准则,根据转速变化对PID控制参数进行自动实时整定.利用MATLAB工具创建控制系统的仿真模型,仿真结果表明:模糊自整定PID控制系统实现转速响应快,超调量小,干扰后恢复时间短,鲁棒性强等优点,较传统PID控制有较大优势.
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| 关 键 词： | 新能源汽车；无刷直流电机；模糊自整定PID；MATLAB/Simulink仿真 |
Research and simulation of fuzzy self tuning PID control for BLDCM |
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| Zhang Tao,Zhang Wei,Xin Shangzhi and Shen Tianyu. Research and simulation of fuzzy self tuning PID control for BLDCM[J]. Electronic Measurement Technology, 2017, 40(8): 66-71 |
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| Authors: | Zhang Tao Zhang Wei Xin Shangzhi Shen Tianyu |
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| Affiliation: | Department of Electrical Engineering School of Optical Electrical and Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China,Department of Electrical Engineering School of Optical Electrical and Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China,Department of Electrical Engineering School of Optical Electrical and Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China and Department of Electrical Engineering School of Optical Electrical and Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China |
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| Abstract: | The control system of brushless DC motor,which is widely used in new energy vehicles,has the characteristics of time-varying,nonlinear,strong coupling and many variables.Based on the mathematical model of brushless DC motor,,based on the mathematical model of Brushless DC motor,this paper presents a simple and practical control strategy,that is,the closed-loop speed control scheme of fuzzy self-tuning PID control.The fuzzy control rules are set by fuzzy logic,and the PID control parameters are adjusted in real time according to the change of speed.Using MATLAB tools to establish the control system simulation model.The simulation results show that:The advantage of fuzzy adaptive PID control system at the speed of fast response,small overshoot,anti-jamming and recovery time is short,strong robustness,compared with the traditional PID control has a larger advantage. |
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| Keywords: | new energy vehicle brushless DC motor (BLDCM) fuzzy self tuning PID simulation |
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