Adaptive control for magnetostrictive actuated nano-positioner

Xinkai Chen, Ying Feng, Chun Yi Su

Research output: Contribution to conferencePaperpeer-review


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.

Original languageEnglish
Number of pages6
Publication statusPublished - 2013
Event2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 - Shenzhen, China
Duration: 2013 Dec 122013 Dec 14


Conference2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Biotechnology


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