A Nonlinear Predictive Controller Based on Chaos Optimization Apply to Reheated Steam Temperature

摘要：

　　In the power plant reheat steam temperature control system with large time delay,large inertia and dynamic variation of uncertainty,a new nonlinear predictive controller is proposed which combines neural network identification,chaos optimization algorithm (COA) and the concept of predictive control.The controller utilizes neural network as predictive model and COA as online optimization.It can avoid calculating the complicated gradient and the inverse matrix in the nonlinear predictive control.The simulation studies show the effective performance of the proposed controller.

关键词： reheated steam temperature chaos optimization nonlinear predictive control neural network

作者: WU Wei-hong YAN Wei-ping GUAN Zhi-min

作者单位: Shanxi Electric Power Company Electric Power Science Research Institute Taiyuan, China North China Electric Power University Baoding, China

会议类型: 国际会议

会议名称: 2013 2nd International Symposium on Computer,Communication,Control and Automation(ISCCCA-13)(2013年第二届计算机、通信与自动化国际会议)

会议地点: 太原

会议语种:英文

页码: 196-199

在线出版日期: 2013-04-06（万方平台首次上网日期，不代表论文的发表时间）