| 基于遗传算法-BP神经网络的PID控制器的设计 |
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| 引用本文： | 曲尔光,贾毅朝,刘春艳. 基于遗传算法-BP神经网络的PID控制器的设计[J]. 机床与液压, 2007, 35(7): 205-206,212 |
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| 作者姓名： | 曲尔光 贾毅朝 刘春艳 |
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| 作者单位： | 运城学院机电工程系,山西运城,044000 |
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| 摘 要： | 针对常规PID控制器不能对其参数进行自寻优的缺点,提出采用遗传算法优化BP神经网络PID控制器,使3个参数实现在线调整.并通过MATLAB仿真试验表明:基于遗传算法-BP神经网络的PID控制器比常规PID控制跟踪信号的能力要好,而且有较好的自适应和自学习能力.
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| 关 键 词： | 遗传算法 BP神经网络 PID控制 MATLAB 基于遗传算法 神经网络 控制器 设计 Neural Network Genetic Algorithm Based PID Controller 自学习 自适应 能力 信号 跟踪 仿真试验 MATLAB 在线调整 算法优化 自寻优 参数 |
| 文章编号： | 1001-3881（2007）7-205-2 |
| 修稿时间： | 2006-12-18 |
The Designing of PID Controller Based on Genetic Algorithm -BP Neural Network |
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| QU Erguang,JIA Yichao,LIU Chunyan. The Designing of PID Controller Based on Genetic Algorithm -BP Neural Network[J]. Machine Tool & Hydraulics, 2007, 35(7): 205-206,212 |
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| Authors: | QU Erguang JIA Yichao LIU Chunyan |
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| Affiliation: | Yuncheng University, Mechanical and Electrical Engineering Department, Yuncheng Shanxi 044000, China |
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| Abstract: | The genetic algorithm optimization back-propagation nerve network PID controller was presented in order to overcome the shortcoming of conventional PID controller that it can't self-optimization.The on-line adjustment of the three parameters was realized.The simulation results indicate that PID controller based on genetic algorithm-BP nerve network is more effective in track signal than the conventional PID controller,it has better self-study and self-adaptive. |
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| Keywords: | Genetic algorithm BP neural network PID control MATLAB |
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