Iterative Predictive Control of a Class of Nonlinear Systems
A new iterative predictive control method for a class of discrete nonlinear systems is presented by changing the nonlinear model into a global linear model. The method treats the systems model into an equivalent time-varying model at each sampling instant. The structure of the controller is similar to that of classic PI optimal controller. Its control performance and robustness is superior to traditional predictive control methods which only consider output errors. Simulation results also show it is better than classic PI optimal controller.
Nonlinear processes Iterative learning Predictive control PI optimal controller
WANG Chun-lin ZHANG Ri-dong
Information and Control Institute,Hangzhou Dianzi University,Hangzhou 310018
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5001-5006
2009-06-17(万方平台首次上网日期,不代表论文的发表时间)