An Nonlinear Adaptive Control Algorithm Based on BP Neural Network

摘要：

In this paper, an nonlinear adaptive control algorithm based on BP neural network is applied to build the parameter model of the system, takes the controlled plants mathematical models control quantity and model output as the input of the neural network model. This method does not need to distinguish the system order. Identification structure is simple. The accuracy is high. BP neural network is applied to build the prameter model of the system and it change rule of time varied parameter of linear system into neural network parameter model. The results of experimant verified the effectiveness of our proposed nonlinear adaptive control algorithm based on BP neural network by computer simulation.

关键词： adaptive PID control algorithm Model of parameter Neural network

作者: Di LIU Zhen WANG Kai ZHANG Jian-Hai LI

作者单位: Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai Shandong Department of Basic Experimental, Naval Aeronautical and Astronautical University, Yantai Shandong 2

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 108-112

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）