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Inverse Adaptive Controller Design for Magnetostrictive-Actuated Dynamic Systems

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Advanced Mechatronics and MEMS Devices II

Part of the book series: Microsystems and Nanosystems ((MICRONANO))

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Abstract

Magnetostrictive actuators featuring high energy densities, large strokes, and fast responses are playing an increasingly important role in precision positioning applications. However, such actuators invariably exhibit asymmetric hysteresis nonlinearities that could cause oscillations and errors in the micro-positioning tasks. Therefore, in this chapter, an inverse adaptive controller design method is developed for the purpose of mitigating the hysteresis effect in the magnetostrictive-actuated dynamic systems. Focusing on the asymmetric hysteresis phenomenon, an asymmetric shifted Prandtl–Ishlinskii (ASPI) model and its inverse are utilized to describe and compensate the asymmetric hysteresis behaviors in the magnetostrictive actuator, respectively. To guarantee the global stability of the closed-loop system and the transient performance of the tracking error, a prescribed adaptive control method will be applied. The effectiveness of the proposed control scheme is validated on the magnetostrictive-actuated experimental platform.

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Author information

Authors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, 5600, MB, The Netherlands

    Zhi Li

  2. Concordia University, Montreal, QC, H3G 1M8, Canada

    Chun-Yi Su

  3. Northeast Dianli University, Jilin, CO132012, China

    Xiuyu Zhang

Authors
  1. Zhi Li
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  2. Chun-Yi Su
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  3. Xiuyu Zhang
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Corresponding author

Correspondence to Chun-Yi Su .

Editor information

Editors and Affiliations

  1. York University, Toronto, Ontario, Canada

    Dan Zhang

  2. University of Ontario Institute of Technology, Oshawa, Ontario, Canada

    Bin Wei

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Li, Z., Su, CY., Zhang, X. (2017). Inverse Adaptive Controller Design for Magnetostrictive-Actuated Dynamic Systems. In: Zhang, D., Wei, B. (eds) Advanced Mechatronics and MEMS Devices II. Microsystems and Nanosystems. Springer, Cham. https://doi.org/10.1007/978-3-319-32180-6_30

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  • DOI: https://doi.org/10.1007/978-3-319-32180-6_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32178-3

  • Online ISBN: 978-3-319-32180-6

  • eBook Packages: EngineeringEngineering (R0)

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