DWO Based Predictive Control for Nonlinear Systems

Author

He, Qing ; Tan, Shuai ; Wanshan, Dai

Author_Institution

Sch. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China

Volume

2

fYear

2010

fDate

13-14 March 2010

Firstpage

38

Lastpage

41

Abstract

In this paper, the problems on the model predictive control (MPC) of nonlinear systems are studied. A direct weight optimization (DWO) method based predictive control for nonlinear systems is presented. The approach gives a direct and effective predicting method and uses linear method to get the control law which avoids the complicated nonlinear optimization. The simulation result shows the efficiency and feasibility of the proposed DWO algorithm.

Keywords

nonlinear control systems; optimisation; predictive control; DWO based predictive control; direct weight optimization method; linear method; nonlinear optimization; nonlinear system; Electric variables measurement; Electrical equipment industry; Industrial control; Mechatronics; Neural networks; Nonlinear control systems; Nonlinear systems; Optimization methods; Predictive control; Predictive models; Direct Weight Optimization; Nnonlinear Ssystems; Predictive Control; Quadratic Programming;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.301

Filename

5460009