Title :
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
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;
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
