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Modeling Dynamic Hysteresis of Smart Actuators with Fuzzy Tree

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Advances in Neural Networks – ISNN 2014 (ISNN 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8866))

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Abstract

The inherent dynamic hysteresis, including rate-dependent and stress-dependent hysteresis, hinders the performance of smart actuators. In this paper, two methods are introduced to model the dynamic hysteresis of smart actuators based on fuzzy tree. The first method is to describe the rate-dependent hysteresis directly with fuzzy tree and the second is to propose a stress-dependent Preisach model by building the relations between compress stress and the density function of the Preisch model with fuzzy tree. Simulation results show that both methods can satisfactorily describe rate-dependent or stress-dependent hysteresis.

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Author information

Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China

    Yongxin Guo, Zhen Zhang & Jianqin Mao

  2. China Airborne Missile Academy, Luoyang, 471009, China

    Haishan Ding

  3. Institute Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China

    Yanhua Ma

Authors
  1. Yongxin Guo
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  2. Zhen Zhang
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  3. Jianqin Mao
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  4. Haishan Ding
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  5. Yanhua Ma
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Corresponding author

Correspondence to Yongxin Guo .

Editor information

Editors and Affiliations

  1. Wuhan, China

    Zhigang Zeng

  2. University of Macau, Macau, Macao

    Yangmin Li

  3. The Chinese University of Hong Kong, Hong Kong, Hong Kong, Hong Kong SAR

    Irwin King

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© 2014 Springer International Publishing Switzerland

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Guo, Y., Zhang, Z., Mao, J., Ding, H., Ma, Y. (2014). Modeling Dynamic Hysteresis of Smart Actuators with Fuzzy Tree. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-12436-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12435-3

  • Online ISBN: 978-3-319-12436-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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