The Simulation of Neural Network Decoupling Control of the Unit Coordinated Control System

摘要：

Neural network control is a new intelligent control method.Large thermal power unit coordinated control system is a relatively complex multi-variable control system,the control object has a large time delay,time-varying,nonlinear and strong coupling features,the traditional PID control algorithm is difficult to achieve good process parameters tracking and ideal control effect for the process parameters.For the characteristics of the unit coordinated control system use the neural network decoupling control in the unit coordinated control system,the simulation results show that neural network decoupling control has strong adaptability and high control precision and improve the load response rate ,the control effect is better than the conventional PID control algorithms.

作者: ZHANG Jiaying ZHANG Liping WANG Wenlan

作者单位: Inner Mongolia University of Technology,Electric Power College,Hohhot 010080,Inner Mongolia,P.R.Chin Inner Mongolia Electric Power Research Institute,Hohhot 010020,Inner Mongolia,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-4

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）