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 language | English |
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Title of host publication | Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011 |
Pages | 449-454 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 24 Aug 2011 |
Externally published | Yes |
Event | 2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, China Duration: 8 Jun 2011 → 10 Jun 2011 |
Conference
Conference | 2011 International Conference on System Science and Engineering, ICSSE 2011 |
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Country/Territory | China |
City | Macao |
Period | 8/06/11 → 10/06/11 |
Keywords
- Micro/nanopositioning
- model predictive control
- voice coil motor
ASJC Scopus subject areas
- Control and Systems Engineering