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

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2 Author(s)
Jianchao Fan ; Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., Dalian, China ; Min Han

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.

Published in:

Evolutionary Computation (CEC), 2012 IEEE Congress on

Date of Conference:

10-15 June 2012