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Model predictive control design of a flexure-based micropositioning system
Piyu Wang; Qingsong Xu
2016-08-03
Conference Name28th Chinese Control and Decision Conference, CCDC 2016
Source PublicationProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
Pages5232-5236
Conference Date28-30 May 2016
Conference PlaceYinchuan
CountryChina
Abstract

Lots of advanced micropositioning stage systems exhibit nonminimum phase (NMP) plants. The existence of unstable zeros makes many inversion principle and high-gain feedback based control methods lose their efficacy. In order to control the stage to arrive at the set-position quickly and precisely, an improved model predictive control (MPC) scheme is presented in this paper. The control scheme is devised based on the MPC framework along with a supplementary PID control. Simulation and experimental studies are carried out to verify the effectiveness of the presented control scheme in comparison with conventional PID control. The advantages and disadvantage of the control scheme dedicated micropositioning stage are discussed.

KeywordMicropositioning Stage Mpc Pid Precision Motion Control
DOI10.1109/CCDC.2016.7531933
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000383222305091
Scopus ID2-s2.0-84983802911
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorPiyu Wang; Qingsong Xu
AffiliationDepartment of Electromechanical Engineering, University of Macau, Macao
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Piyu Wang,Qingsong Xu. Model predictive control design of a flexure-based micropositioning system[C], 2016, 5232-5236.
APA Piyu Wang., & Qingsong Xu (2016). Model predictive control design of a flexure-based micropositioning system. Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016, 5232-5236.
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