Nonliear model predictive control of ball-plate system based on gaussian particle swarm optimization

Author

Fan, Jianchao ; Han, Min

Author_Institution

Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., Dalian, China

fYear

2012

fDate

10-15 June 2012

Firstpage

1

Lastpage

6

Abstract

This paper presents a new nonlinear model predictive control (NMPC) strategy based on the Gaussian particle swarm optimization (GPSO). Through the Taylor expansion, NMPC transform to a quadratic programming problem with unknown parameters. Hence, for the global convergence character and higher optimization accuracy, GPSO is employed to dynamically perform nonlinear constraint optimization. Finally, the proposed control strategy is applied to Ball-Plate system to verify the effectiveness.

Keywords

Gaussian processes; convergence; multivariable control systems; nonlinear control systems; particle swarm optimisation; predictive control; quadratic programming; GPSO; Gaussian particle swarm optimization; NMPC strategy; Taylor expansion; ball-plate system; global convergence character; mechanical system; multivariable nonlinear control plant; nonlinear constraint optimization; nonlinear model predictive control; quadratic programming problem; Educational institutions; Heuristic algorithms; Nonlinear systems; Optimization; Particle swarm optimization; Predictive control; Trajectory; Ball-plate system; Gaussian particle swarm optimization; nonliear model predictive control;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2012 IEEE Congress on

Conference_Location

Brisbane, QLD

Print_ISBN

978-1-4673-1510-4

Electronic_ISBN

978-1-4673-1508-1

Type

conf

DOI

10.1109/CEC.2012.6252950

Filename

6252950