Title :
Adaptive Predictive Control of an Electromagnetic Suspension System with LOLIMOT Identifier
Author :
Mohammadzaman, Iman ; Jamab, Atiye Sarabi
Author_Institution :
Dept. of Electr. Eng., Malek Ashtar Univ. of Technol., Tehran
Abstract :
Control design using long-range prediction based on a dynamic model of the plant has become an important contender for high performance applications. In case of important parameters variations however, the maintenance of a high level of performances maybe impossible to reach with a fixed controller, even if the predictive laws ensure intrinsic robustness. In this paper locally linear model tree (LOLIMOT) is used as an identifier of an electromagnetic suspension system. Adaptation mechanism based on online estimation of the each local linear model weights in LOLIMOT algorithm is used to make the system adaptive. Also, an evolutionary programming (EP) is used to determine the optimized control variables for a finite future time interval. Simulation results on EMS system conforms the effectiveness of the proposed predictive control strategy in time varying nonlinear systems
Keywords :
adaptive control; control system synthesis; evolutionary computation; intelligent control; magnetic levitation; nonlinear systems; position control; predictive control; time-varying systems; LOLIMOT identifier; electromagnetic suspension system; evolutionary programming; finite future time interval; intelligent adaptive predictive control design; locally linear model tree; optimized control variable; time varying nonlinear system; Adaptive control; Adaptive systems; Control design; Electric variables control; Electromagnetic modeling; Genetic programming; Predictive control; Predictive models; Programmable control; Robust control;
Conference_Titel :
Control and Automation, 2006. MED '06. 14th Mediterranean Conference on
Conference_Location :
Ancona
Print_ISBN :
0-9786720-1-1
Electronic_ISBN :
0-9786720-0-3
DOI :
10.1109/MED.2006.328809
