| 基于RBF神经网络的PID控制参数整定 |
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| 引用本文： | 李俊杰.基于RBF神经网络的PID控制参数整定[J].自动化信息,2009(6):37-39. |
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| 作者姓名： | 李俊杰 |
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| 作者单位： | 成都电子机械高等专科学校电气与电子工程系,四川成都610031 |
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| 摘 要： | 针对传统PID控制器的缺陷，本文提出了一种基于RBF算法的PID控制器，利用RBF算法局部计算简单、非线性映射能力强的特点，实现对PID控制器参数的寻优整定，并利用MATLAB软件对系统进行仿真。仿真结果表明此方法对PID控制器的参数有很好的控制效果。
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| 关 键 词： | RBF网络 PID控制 Jacobian信息辨识 梯度下降算法 参数整定 |
RBF Neural Network-based PID Control Parameters Setting |
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| LI Jun-jie.RBF Neural Network-based PID Control Parameters Setting[J].Automation Information,2009(6):37-39. |
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| Authors: | LI Jun-jie |
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| Affiliation: | LI Jun-jie (Dept. of Electrical and Electronics Engineering, Chengdu Electro-Mechanical College, Chengdu Sichuan 610031 ) |
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| Abstract: | In view of the shortcomings of traditional PID controller, this paper proposes a PID controllers based on RBF algorithm. By making use of the characteristics of RBF algorithm which with simple partial calculation and powerful non-linear mapping capability to realize the optimizing setting of PID controller parameters. And MATLAB software is used to emulate the system. The simulation results show that this method has realized a good control effect for the parameters of the PID controller. |
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| Keywords: | RBF Network PID Control Jacobian Information Identification Gradient Descent Algorithm Parameter Setting |
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