| 基于WNN-PID的直流电机位置跟踪控制 |
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| 引用本文： | 顾洲,朱建忠. 基于WNN-PID的直流电机位置跟踪控制[J]. 电光与控制, 2007, 14(3): 118-121 |
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| 作者姓名： | 顾洲 朱建忠 |
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| 作者单位： | 南京师范大学动力工程学院,南京210042;南京航空航天大学自动化学院,南京210016;南京师范大学动力工程学院,南京210042 |
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| 摘 要： | 提出了一种新颖的小波基神经网络的网络拓朴结构.通过该网络对对象进行在线辨识,得到其Jacobian信息,使用神经网络与模糊算法共同在线调整PID参数的方法,实现直流力矩电机位置的准确跟踪,仿真和实验表明:使用该方法能够实现电机位置的准确跟踪;基本克服了一般神经网络控制对初始权值的依赖,大大提高了对象的辨识精度,增强了系统的动态响应品质,并具有很强的鲁棒性.
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| 关 键 词： | 直流力矩电机 小波神经网络 辨识 自适应PID控制 |
| 文章编号： | 1671-637X（2007）03-0118-04 |
| 修稿时间： | 2006-06-152006-06-28 |
A WNN-PID based controller for DC motor's position tracking |
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| GU Zhou,ZHU Jian-zhong. A WNN-PID based controller for DC motor's position tracking[J]. Electronics Optics & Control, 2007, 14(3): 118-121 |
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| Authors: | GU Zhou ZHU Jian-zhong |
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| Affiliation: | 1. Power Engineering Institute, Nanjing Normal University, Nanfing 210042, China; 2. Automation Institute, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China |
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| Abstract: | A novel topology network of Wavelet Neural Network(WNN) is put forward.When the network is used for online identification of objectives,Jacobian information can be received.WNN and fuzzy algorithm are used together for online PID paramenter adjustment and realizing accurate position tracking of DC torque motor.Experiments and simulations showed that the method can implement accurate tracking of motor position and decrease its dependency on initial weight.The identification accuracy can be improved greatly,and the dynamic response performance is increased with higher robustness. |
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| Keywords: | DC motor Wavelet Neural Network(WNN) identification adaptive PID control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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