DocumentCode :
2400149
Title :
Precise positioning control of a micropositioning system with nonminimum-phase plant
Author :
Xu, Qingsong ; Li, Yangmin
Author_Institution :
Dept. of Electromech. Eng., Univ. of Macau, Macao, China
fYear :
2011
fDate :
8-10 June 2011
Firstpage :
449
Lastpage :
454
Abstract :
Flexure-based micropositioning systems with large motion range are attractive for a variety of precision engineering applications. The major challenge lies in how to design a suitable control scheme to achieve a precise positioning. In this paper, we propose an enhanced model predictive control (EMPC) strategy for the control of a micropositioning system with nonminimum-phase plant. By making use of the popular proportional-integral-derivative (PID) control algorithm, the EMPC is capable of finding the optimal incremental control action by imposing an appropriate suppression on the control effort. The theoretical analysis and effectiveness of the EMPC is verified by experimental and simulation studies. Comparative studies show that the EMPC scheme produces a much quicker response with lower steady-state error than the conventional MPC method. The proposed control strategy is extendable to other micropositioning systems with either a minimum-phase or nonminimum-phase plant.
Keywords :
control system synthesis; micropositioning; motion control; optimal control; precision engineering; predictive control; three-term control; control scheme design; flexure based micropositioning control system; model predictive control strategy; nonminimum-phase plant; optimal incremental control action; precise positioning control; precision engineering; proportional-integral-derivative control algorithm; steady-state error; Coils; Convergence; Mathematical model; Observers; Optimal control; Steady-state; Micro/nanopositioning; model predictive control; voice coil motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science and Engineering (ICSSE), 2011 International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-61284-351-3
Electronic_ISBN :
978-1-61284-472-5
Type :
conf
DOI :
10.1109/ICSSE.2011.5961945
Filename :
5961945
Link To Document :
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