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Issue title: Proceedings from the 17th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2015)
Guest editors: Fumio Kojima, Futoshi Kobayashi and Hiroyuki Nakamoto
Article type: Research Article
Authors: Chen, Yuanshenga | Qiu, Jinhaob; * | Wu, Junjia
Affiliations: [a] School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China | [b] State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
Correspondence: [*] Corresponding author: Jinhao Qiu, State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China. E-mail:[email protected]
Abstract: Piezoelectric actuators have been widely applied in micro- and nano-positioning devices, but the hysteresis nonlinear property limits the performance. An adaptive control is designed for hysteresis compensation in piezoelectric actuator. The Prandtl-Ishlinkii model is proposed to describe the inverse of piezoelectric actuator. The weight parameters of Prandtl-Ishlinkii model is updated on real-time control. Experimental results show that the proposed control method can effectively update the weight parameters for real-time control.
Keywords: Prandtl-Ishlinskii model, adaptive control, neural network, hysteresis compensation, piezoelectric actuators
DOI: 10.3233/JAE-162229
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 52, no. 1-2, pp. 843-850, 2016
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