Identification and Iterative Learning Control of Piezoelectric Actuator Based Nanopositioning System

This paper presents the identification ofpiezoelectric actuated nanopositioning system. The open loopcharacteristics of the system are analyzed on the basis oftime and frequency response and depicts that the open loopcharacteristics of the system are not satisfactory and requiresome control technique to improve system characteristics.Through the years, several control techniques have beenstudied to improve the performance of the system. Thedesired system should have short settling time and must havethe ability to reject all disturbances. To achieve theseobjectives, the present paper design Iterative LearningControl (ILC) for the nanopositioning system to rejectdisturbance which are periodic in nature. Systemperformances for the desired parameters using ILC areinvestigated and analyzed. The whole work of simulationand implementation of the ILC is done by usingMATLAB/SIMULINK software