| 基于RBF神经网络多步预测的自适应PID控制 |
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| 引用本文： | 姬晓飞,孟令柏,申东日,陈义俊. 基于RBF神经网络多步预测的自适应PID控制[J]. 甘肃科学学报, 2003, 15(2): 71-75 |
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| 作者姓名： | 姬晓飞 孟令柏 申东日 陈义俊 |
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| 作者单位： | 辽宁石油化工大学信息工程分院,辽宁,抚顺,113001 |
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| 摘 要： | 提出一种基于RBF神经网络多步预测的自适应PID控制算法．该算法用无局部极小的径向基函数网络对非线性系统进行在线辨识，利用多步预测误差对PID型控制器网络进行训练，从而实现PID参数的在线自适应寻优．通过对典型非线性系统的仿真研究，该控制系统具有较强的适应性和鲁棒性．
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| 关 键 词： | 神经网络 多步预测 PID控制 RBF网络 非线性系统 |
| 文章编号： | 1004-0366(2003)02-0071-05 |
| 修稿时间： | 2002-07-13 |
AN ADAPTIVE PID CONTROL BASED ON RBF NEURAL NETWORK MULTI-STEP PREDICTION |
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| JI Xiao|fei,MENG Ling|bai,SHEN Dong|ri,CHEN Yi|jun. AN ADAPTIVE PID CONTROL BASED ON RBF NEURAL NETWORK MULTI-STEP PREDICTION[J]. Journal of Gansu Sciences, 2003, 15(2): 71-75 |
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| Authors: | JI Xiao|fei MENG Ling|bai SHEN Dong|ri CHEN Yi|jun |
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| Abstract: | An adaptive PID controller based on RBF neural network multi|step prediction ispresented. The control algorithm identifies the parameters of nonlinear systems with radial trains the control neural network with a performance index basis function neural network,based on multi|step prediction errors, and gets the optimal PID parameters on line. The results of simulation show that the proposed method is very effective to nonlinear system,and it achieves a better disturbance rejection performance and stronger robustness. |
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| Keywords: | neural network multi-step prediction PID control RBF network nonlinear system |
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