Title :
Adaptive control for magnetostrictive actuated nano-positioner
Author :
Xinkai Chen ; Ying Feng ; Chun-Yi Su
Author_Institution :
Dept. of Electron. & Inf. Syst., Shibaura Inst. of Technol., Saitama, Japan
Abstract :
The nano-positioner driven by magnetostrictive actuator is composed of a magnetostrictive actuator and a positioning mechanism (PM). Due to the existence of hysteretic nonlinearity in the magnetostrictive actuator and the friction behavior in the PM, the accurate position control of the nano-stage is a challenging task. This paper discusses the high precision control for the magnetostrictive nano-positioner, where the hysteresis is described by Preisach model. The proposed control law ensures the zero output tracking of the controlled positioner. Experimental results show the effectiveness of the proposed method.
Keywords :
actuators; adaptive control; control nonlinearities; friction; magnetoresistance; nanopositioning; PM; Preisach model; adaptive control; friction behavior; hysteretic nonlinearity; magnetostrictive actuated nanopositioner; magnetostrictive actuator; position control; positioning mechanism; zero output tracking; Actuators; Adaptive control; Hysteresis; Magnetic hysteresis; Magnetostriction; Mathematical model; Polynomials;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ROBIO.2013.6739431