Iterative predictive control of a class of nonlinear systems

Author

Wang Chun-Lin ; Zhang Ri-dong

Author_Institution

Inf. & Control Inst., Hangzhou Dianzi Univ., Hangzhou, China

fYear

2009

fDate

17-19 June 2009

Firstpage

5001

Lastpage

5006

Abstract

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 system´s 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.

Keywords

PI control; discrete systems; iterative methods; nonlinear control systems; optimal control; predictive control; time-varying systems; classic PI optimal controller; discrete nonlinear systems; equivalent time-varying model; global linear model; iterative predictive control; Electronic mail; Iterative methods; Nonlinear control systems; Nonlinear systems; Optimal control; Predictive control; Predictive models; Robust control; Sampling methods; Time varying systems; Iterative learning; Nonlinear processes; PI optimal controller; Predictive control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5194934

Filename

5194934