Simulation Research of Composite Control Structure Scheme Based on Feedforward Counterbalance of ANN’s Inverse Model

摘要：

In order to identify and model and effectively control to the complicated nonlinear systems, principle of identification and control of the ANNs (Artificial Neural Network) inverse model was analysed for nonlinear system in the paper. Simulation researches of the composite control structure scheme based on the feedforward counterbalance of the ANNs inverse model was done for nonlinear system. Simulation researches were done for the composite control scheme with conventional PID controller + counterbalance of the MFN (Multilayer Feedforward Network) ANNs inverse model. The simulation results show, the composite control structure scheme designed is successful, and the relatively simple network architecture can be improved generalization ability of the ANNs inverse model and the control precision for nonlinear system.

关键词： Artificial Neural Networks (ANN) Inverse Model Composite Control Feedforward Counterbalance Simulation

作者: Wang Xinxin Qu Dongcai Wu Guangbin Zhang Ruizhi

作者单位: Institute of Opto-Electronic Information,Yantai University Yantai,Shandong Province,264005,China Department of Control Engineering,Naval Aeronautical Engineering Institute Yantai,Shandong Province,

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）