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Adaptive Control of Magnetostrictive-Actuated Positioning Systems with Input Saturation

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Intelligent Robotics and Applications (ICIRA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9834))

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Abstract

Magnetostrictive actuators are high-force low-displacement actuators, which are profitably utilized in many engineering applications such as, high dynamic servo valves, micro/nano-positioning systems and optical systems. Nevertheless, magnetostrictive actuators are subject to hysteresis effects and input saturation, which lead poor system performances, e.g. inaccuracy and strong oscillations. To mitigate these effects, in this paper an adaptive controller with an anti-windup technique is developed. The anti-windup technique is particularly used for dealing with the input saturation effect. The simulation results demonstrate the effectiveness of the proposed controller.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Eindhoven University of Technology, 5612AZ, Eindhoven, Netherlands

    Zhi Li

  2. College of Automation Science and Engineering, South China University of Technology, Guangzhou, 510641, China

    Chun-Yi Su

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

Correspondence to Zhi Li .

Editor information

Editors and Affiliations

  1. Tokyo Metropolitan University , Tokyo, Japan

    Naoyuki Kubota

  2. Kyushu University , Fukuoka, Japan

    Kazuo Kiguchi

  3. University of Portsmouth , Portsmouth, United Kingdom

    Honghai Liu

  4. Tokyo Metropolitan University , Tokyo, Japan

    Takenori Obo

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© 2016 Springer International Publishing Switzerland

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Li, Z., Su, CY. (2016). Adaptive Control of Magnetostrictive-Actuated Positioning Systems with Input Saturation. In: Kubota, N., Kiguchi, K., Liu, H., Obo, T. (eds) Intelligent Robotics and Applications. ICIRA 2016. Lecture Notes in Computer Science(), vol 9834. Springer, Cham. https://doi.org/10.1007/978-3-319-43506-0_55

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  • DOI: https://doi.org/10.1007/978-3-319-43506-0_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43505-3

  • Online ISBN: 978-3-319-43506-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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