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On PSO Based Bouc-Wen Modeling for Piezoelectric Actuator

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Intelligent Robotics and Applications (ICIRA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6424))

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Abstract

The paper proposes an effective modeling method for piezoelectric actuator with hysteresis, in which Bouc-Wen model is employed to describe the piezoelectric hysteretic phenomenon. In order to determine the model parameters, the particle swarm optimization (PSO) algorithm is utilized. Finally, the comparisons of numerical simulations and experimental results for the piezoelectric actuator in different frequency are drawn. It is found that the Bouc-Wen model based on intelligent optimization can model excellently the hysteretic phenomenon to achieve high-quality fitting curve between experimental and model data. The model generation performance and hysteresis curve fitting ability at 20-80 Hz prove the effectiveness of this method.

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Author information

Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, 100191, Beijing, P.R. China

    ZhenYan Wang & JianQin Mao

  2. School of Electronical and Information Engineering, Taiyuan University of Science and Technology, 030024, Taiyuan, P.R. China

    ZhenYan Wang

Authors
  1. ZhenYan Wang
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  2. JianQin Mao
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Editor information

Editors and Affiliations

  1. School of Creative Technologies, The University of Portsmouth, PO1 2DJ, Portsmouth, UK

    Honghai Liu

  2. Robotics Institute, Shanghai Jiao Tong University, 200240, Shanghai, China

    Han Ding , Zhenhua Xiong  & Xiangyang Zhu ,  & 

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© 2010 Springer-Verlag Berlin Heidelberg

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Wang, Z., Mao, J. (2010). On PSO Based Bouc-Wen Modeling for Piezoelectric Actuator. In: Liu, H., Ding, H., Xiong, Z., Zhu, X. (eds) Intelligent Robotics and Applications. ICIRA 2010. Lecture Notes in Computer Science(), vol 6424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16584-9_12

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  • DOI: https://doi.org/10.1007/978-3-642-16584-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16583-2

  • Online ISBN: 978-3-642-16584-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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