Title :
Fuzzy Hammerstein model based generalized predictive control for ball and beam system
Author :
Raees, Aqsa ; Kadri, Muhammad Bilal
Author_Institution :
Dept. of Electr. & Power Eng., PNEC (NUST), Karachi, Pakistan
Abstract :
Ball and Beam system controlling is enduringly popular within the domain of control engineers. Various schemes have been proposed for the controlling of this nonlinear system. This paper presents a novel technique of the identification as well as the controlling of this system. The identification is carried out by employing fuzzy Hammerstein model of the system and the controlling is carried out using generalized predictive control algorithm. Matlab simulation results are presented to demonstrate the efficiency of proposed control methodology.
Keywords :
beams (structures); fuzzy control; fuzzy set theory; nonlinear control systems; predictive control; Matlab simulation; ball-and-beam system control; control engineering; fuzzy Hammerstein model; generalized predictive control algorithm; nonlinear system control; system identification; Control systems; Cost function; Equations; Mathematical model; Prediction algorithms; Predictive control; Predictive models; Ball and Beam system; Fuzzy Hammerstein model; Generalized Predictive controller; Identification;
Conference_Titel :
Emerging Technologies (ICET), 2012 International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4673-4452-4
DOI :
10.1109/ICET.2012.6375431
