DocumentCode :
588052
Title :
Nonlinear model predictive control for a Ball&Beam
Author :
Martinez, D. ; Ruiz, F.
Author_Institution :
Dept. de Electron., Pontificia Univ. Javeriana - Bogota, Bogotá, Colombia
fYear :
2012
fDate :
1-2 Nov. 2012
Firstpage :
1
Lastpage :
5
Abstract :
This article presents the development of a modelbased predictive control (MPC) for Ball & Beam system and results achieved in the implementation of this controller on a real plant. The purpose of this work is to show that the MPC is one of the optimal control strategies more employed in the research community over the last years due to good management of the nonlinearities and the fulfillment of mechanical and electrical constraints. The validation of the results is supported by comparing experimental data with theoretical results.
Keywords :
beams (structures); control nonlinearities; nonlinear control systems; optimal control; predictive control; MPC; ball & beam system; electrical constraints; mechanical constraints; model-based predictive control; nonlinear model predictive control; optimal control strategies; Artificial neural networks; DC motors; Linear programming; Mathematical model; Optimal control; Predictive control; Rails; Ball&Beam; Model predictive control; Nonlinearity; constraints; optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (CWCAS), 2012 IEEE 4th Colombian Workshop on
Conference_Location :
Barranquilla
Print_ISBN :
978-1-4673-4612-2
Type :
conf
DOI :
10.1109/CWCAS.2012.6404073
Filename :
6404073
Link To Document :
بازگشت