Title :
PID-structured controller design for interval systems: Application to piezoelectric microactuators
Author :
Khadraoui, S. ; Rakotondrabe, M. ; Lutz, P.
Author_Institution :
Autom. Control & Micro-Mechatron. Syst. Dept. (AS2M Dept.), FEMTO-st Inst., Besancon, France
fDate :
June 29 2011-July 1 2011
Abstract :
This paper addresses the modeling and robust PID controller design for piezoelectric microsystems. Piezoelectric cantilevers, used as microactuators in micromanipulation and microassembly con texts, are particularly concerned. Due to their small sizes, these systems are very sensitive to environment (temperature, vibration, etc.) and to usury during functioning. Their behaviors often change because of the parameters variation. For that, linear modeling with uncertainty has been used to account the uncertainties, then classical H∞ and μ-synthesis approaches were applied. These techniques were efficiency but they were of high order which is not suitable for embedded microsystems. Furthermore, when the number of uncertain parameters increases, the modeling of microsystems became delicate and difficult. In this paper, we propose to model the uncertain parameters by bounding them with intervals. After wards, we propose to design a robust PID controller by using interval arithmetic and related tools in order to ensure the specified performances. In addition to the simplicity of the uncertainties modeling, the derived controller is of low order. The controller synthesis is formulated as a set-inversion problem. An application to the control of piezoelectric microactuators proves the efficiency of the proposed method.
Keywords :
cantilevers; control system synthesis; microactuators; piezoelectric actuators; robust control; three-term control; PID-structured controller design; controller synthesis; embedded microsystem; interval system; microassembly; micromanipulation; piezoelectric cantilevers; piezoelectric microactuators; piezoelectric microsystem; robust PID controller design; set-inversion problem; Computational modeling; Grippers; Mathematical model; Microactuators; Robustness; Stability analysis; Uncertainty;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5990797