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基于BP算法的神经网络内模控制器
引用本文:聂志刚,;黄鲁江. 基于BP算法的神经网络内模控制器[J]. 四川轻化工学院学报, 2008, 0(3): 85-87
作者姓名:聂志刚,  黄鲁江
作者单位:[1]兰州交通大学光电技术与智能控制教育部重点实验室,兰州730070; [2]兰州交通大学自动化与电气工程学院,兰州730070
摘    要:文章针对一类非线性系统,采用加入阻尼项的权值调整BP算法,设计了基于BP算法的神经网络内模控制器,并进行了仿真,结果显示该控制器对阶跃信号和扰动均无稳态误差,对非线性环节有较好的控制效果。

关 键 词:内模控制  神经网络  BP算法

Neural Network Internal Model Controller Based on BP Algorithm
Affiliation:NIE Zhi-gang, HUANG Lu-jiang (1.Key Laboratory of Opto-Electronic Technology and Intelligent Control Under the Ministry of Education, Lanzhou Jiaotong University, Lanzhou 730070, China; 2.School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)
Abstract:For the control of a class of nonlinear system, a neural network internal model control base on BP algorithm is designed. By adding a damping coefficeient, the weights of BP algorithm is improved. Then Simulation is shown. The results show that both of the step signal responsing and disturbance of the controller is satisfied. It is also shown that the controller has good control results for nonliear plant.
Keywords:internal model control  neural network  BP algorithm
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