Title :
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
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;
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
DOI :
10.1109/CEC.2012.6252950
