Iterative Learning Control of the electrostatic microbridge actuator

Author

Cichy, Blazej ; Galkowski, Krzysztof ; Rauh, Andreas ; Aschemann, Harald

Author_Institution

Inst. of Control & Comput. Eng., Univ. of Zielona Gora, Zielona Gόra, Poland

fYear

2013

fDate

17-19 July 2013

Firstpage

1192

Lastpage

1197

Abstract

In this paper, we consider the control of an electrostatic microbridge actuator with a distributed electrostatic force input and distributed displacement sensing. A bounded desired trajectory is achieved by using an Iterative Learning Control (ILC) method based on discrete linear repetitive processes with the use of Linear Matrix Inequalities (LMI). Space and time discretization is accomplished by using a finite difference approach based on the so-called Crank-Nicolson method.

Keywords

adaptive control; electrostatic actuators; finite difference methods; force control; iterative methods; learning systems; linear matrix inequalities; Crank-Nicolson method; ILC method; LMI; bounded desired trajectory; discrete linear repetitive processes; distributed displacement sensing; distributed electrostatic force input; electrostatic microbridge actuator; finite difference approach; iterative learning control; linear matrix inequalities; space discretization; time discretization; Actuators; Aerospace electronics; Electrostatics; Equations; Linear matrix inequalities; Mathematical model; Vectors; Iterative Learning Control; Linear Matrix Inequalities; distributed systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 2013 European

Conference_Location

Zurich

Type

conf

Filename

6669139