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Unknown Dynamic Estimator Based Control for Hydraulic Servo Systems

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Proceedings of 2017 Chinese Intelligent Systems Conference (CISC 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 460))

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Abstract

This paper investigates precise tracking control for a class of high-order hydraulic servo systems. For modeling of servo systems, the unknown nonlinearities of the hydraulic actuator and valve that may decrease the tracking performance and system stability are taken into account and then addressed via an unknown dynamic estimator with a simple structure and fewer tuning parameters. A recursive control design procedure is developed to achieve precise position tracking, where the calculations of the derivatives of the virtual control laws in traditional backstepping are remedied. The suggested controller guarantees that both the estimation error and tracking error will converge to a small set around zero. Simulation results are provided to verify the effectiveness of the proposed control strategy.

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Author information

Authors and Affiliations

  1. Faculty of Mechanical and Electrical Engineering, Kunming University of Science & Technology, Kunming, 650500, People’s Republic of China

    Yunpeng Li, Jing Na & Guanbin Gao

  2. College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, People’s Republic of China

    Qiang Chen

Authors
  1. Yunpeng Li
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  2. Jing Na
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  3. Qiang Chen
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  4. Guanbin Gao
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Corresponding author

Correspondence to Jing Na .

Editor information

Editors and Affiliations

  1. Beihang University , Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. University of Science and Technology Beijing, Beijing, China

    Weicun Zhang

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© 2018 Springer Nature Singapore Pte Ltd.

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Li, Y., Na, J., Chen, Q., Gao, G. (2018). Unknown Dynamic Estimator Based Control for Hydraulic Servo Systems. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2017 Chinese Intelligent Systems Conference. CISC 2017. Lecture Notes in Electrical Engineering, vol 460. Springer, Singapore. https://doi.org/10.1007/978-981-10-6499-9_68

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  • DOI: https://doi.org/10.1007/978-981-10-6499-9_68

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6498-2

  • Online ISBN: 978-981-10-6499-9

  • eBook Packages: EngineeringEngineering (R0)

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