| 遗传算法优化BP神经网络在转速PID控制中的应用 |
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| 引用本文： | 姜忠山,宋超,朱飞翔,司维超.遗传算法优化BP神经网络在转速PID控制中的应用[J].兵工自动化,2009,28(3):52-55. |
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| 作者姓名： | 姜忠山 宋超 朱飞翔 司维超 |
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| 作者单位： | 1. 海军航空工程学院,控制工程系,山东,烟台,264001
2. 海军航空工程学院,研究生,4队,山东,烟台,264001 |
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| 摘 要： | 提出一种基于遗传算法优化的BP神经网络PID控制算法，并将其应用于永磁无刷直流电动机的转速控制系统而设计出优化的转速PID控制器。该算法首先利用遗传算法对BP神经网络的初始权值进行优化，再利用BP神经网络算法对PID参数进行在线调节，解决网络的初始权值对控制效果的不利影响，仿真证明该算法可行。
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| 关 键 词： | 遗传 BP神经网络 PID控制 无刷直流电机 优化 |
Application of Optimized BP Neural Network Based on Genetic Algorithm in PID Control of Speed |
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| JIANG Zhong-shan,SONG Chao,ZHU Fei-xiang,SI Wei-chao.Application of Optimized BP Neural Network Based on Genetic Algorithm in PID Control of Speed[J].Ordnance Industry Automation,2009,28(3):52-55. |
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| Authors: | JIANG Zhong-shan SONG Chao ZHU Fei-xiang SI Wei-chao |
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| Affiliation: | 1.Dept.of Control Engineering;Naval Aeronautical Engineering Institute;Yantai 264001;China;2.No.4 Brigade of Postgraduate;China |
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| Abstract: | The paper proposes a PID control algorithm based on optimized BP neural network using genetic algorithm, which is applied in speed control system of permanent magnet brushless DC motor to design the optimized speed PID controller. The algorithm optimizes the initial weights of BP neural network by using genetic algorithm firstly, and then on-line adjusts the PID parameters by using BP neural network algorithm to diminish disbennifit effect of network＇s initial weights on control result. The simulation result shows the algorithm is feasible. |
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| Keywords: | Genetic BP neural network PID control Brushless DC motor Optimization |
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