Title :
Control for unknown systems preceded by hysteresis and its application to nanopositioner
Author_Institution :
Dept. of Electron. & Inf. Syst., Shibaura Inst. of Technol., Saitama, Japan
Abstract :
In this paper, an implicit inversion of the hysteresis described by Preisach model is introduced to avoid difficulties of the directly inverse construction for this kind of complex hysteresis models. Based on this inversion, the adaptive control for unknown linear dynamical systems preceded with hysteresis described by Presaich model is formulated. The stability of the controlled systems is analyzed and zero output tracking error can be eventually achieved. Finally, the proposed algorithm is applied to the position control of the nano-stage driven by magnetostrictive actuator.
Keywords :
adaptive control; control system analysis; position control; stability; Preisach model; adaptive control; complex hysteresis models; controlled systems stability; hysteresis implicit inversion; inverse construction; nanopositioner; position control; unknown linear dynamical systems; Artificial intelligence; Hysteresis; Magnetic analysis; Springs; Hysteresis; Preisach model; adaptive control; magnetostrictive actuator; nano-stage;
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2013 International Conference on
Conference_Location :
Luoyang
Print_ISBN :
978-1-4799-2518-6
DOI :
10.1109/ICAMechS.2013.6681747
