Precise positioning control of a micropositioning system with nonminimum-phase plant

Qingsong Xu, Yangmin Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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.
Original languageEnglish
Title of host publicationProceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
Pages449-454
Number of pages6
DOIs
Publication statusPublished - 24 Aug 2011
Externally publishedYes
Event2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, China
Duration: 8 Jun 201110 Jun 2011

Conference

Conference2011 International Conference on System Science and Engineering, ICSSE 2011
Country/TerritoryChina
CityMacao
Period8/06/1110/06/11

Keywords

  • Micro/nanopositioning
  • model predictive control
  • voice coil motor

ASJC Scopus subject areas

  • Control and Systems Engineering

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