DocumentCode :
706790
Title :
Extended linearised predictive control: Practical control algorithms for non-linear systems
Author :
Megias, D. ; Serrano, J. ; El Ghoumari, M.Y.
Author_Institution :
Dept. d´Inf., Univ. Autonoma de Barcelona, Barcelona, Spain
fYear :
1999
fDate :
Aug. 31 1999-Sept. 3 1999
Firstpage :
2707
Lastpage :
2712
Abstract :
In this paper two predictive controllers for non-linear systems are presented. Both methods-ELPC and MELPC-are based on a local linearisation of the process at each sampling instant, thus, a priori, should perform better than the controllers designed in terms of a single linearisation about an operating point. On the other hand, their linear formulation leads to computation times much shorter than those provided by non-linear predictive control methods. After their formulation, ELPC and MELPC are compared with a linear predictive controller on a three-degrees-of-freedom robot, showing their good performance and computation times features.
Keywords :
linearisation techniques; nonlinear control systems; predictive control; MELPC; modified extended linearised predictive control; nonlinear system; process linearisation; Computational modeling; Joints; Mathematical model; Prediction algorithms; Predictive control; Robots; Trajectory; non-linear systems; predictive control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
Type :
conf
Filename :
7099735
Link To Document :
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