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FIRA RoboWorld Congress

FIRA 2011: Next Wave in Robotics pp 202–209Cite as

A Fuzzy PID Controller Based on Hybrid Optimization Approach for an Overhead Crane

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 212))

Abstract

A fuzzy PID controller is proposed to asymptotically stabilize a three-dimensional overhead crane using a hybrid optimization approach in this article. In the proposed algorithm, the PID gains are adaptive then the fuzzy PID controller has more flexibility and capability than the conventional ones with fixed gains. To tune the fuzzy PID controller simultaneously, a hybrid optimization procedure integrating genetic algorithm (GA) and particle swarm optimization (PSO) method is adopted. The simulation results illustrate that the proposed controller with few fuzzy rules can effectively perform the asymptotical stability of the prototype overhead crane.

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Author information

Authors and Affiliations

  1. Department of Automation Engineering, Nan-Kai University of Technology, Tasotun, Nantou, 542, Taiwan

    Chia-Nan Ko

Authors
  1. Chia-Nan Ko
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Tzuu-Hseng S. Li

  2. National Kaohsiung First University of Science and Technology, 2 Juoyue Road, 40227, Taichung, Taiwan

    Kuo-Yang Tu

  3. Department of Electrical Engineering, Nationan Chung Hsing University, No. 250, Kuo-Kuang Road, 40227, Taichung, Taiwan

    Ching-Chih Tsai

  4. Department of Applied Electronics Technology, National Taiwan Normal University, 162 He-Ping East Road, Section 1, 10610, Taipei, Taiwan

    Chen-Chien Hsu

  5. National Kaohsiung First University of Science and Technology, 2 Juoyue Road, Nantsu District, 811, Kaohsiung City, Taiwan

    Chien-Cheng Tseng

  6. National University of Singapore, Singapore

    Prahlad Vadakkepat

  7. Department of Computer Science,, University of Manitoba, R3T 2N2, Winnipeg, Manitoba, Canada

    Jacky Baltes

  8. Department of Computer Science, University of Manitoba, R3T 2N2, Winnipeg, Manitoba, Canada

    John Anderson

  9. Tamkang University, Taipei, Taiwan

    Ching-Chang Wong

  10. Technische Universität Dortmund, Dortmund, Germany

    Norbert Jesse

  11. Department of Electrical Engineering, National Taiwan University of Science and Technology, 43, Sec. 4, Keelung Rd., 106, Taipei, Taiwan

    Chung-Hsien Kuo

  12. Institute of System Information and Control, National Kaohsiung First University of Science and Technology, 2 Juoyue Road, Nantsu District, 811, Kaohsiung City, Taiwan

    Haw-Ching Yang

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© 2011 Springer-Verlag Berlin Heidelberg

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Ko, CN. (2011). A Fuzzy PID Controller Based on Hybrid Optimization Approach for an Overhead Crane. In: Li, TH.S., et al. Next Wave in Robotics. FIRA 2011. Communications in Computer and Information Science, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23147-6_25

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  • DOI: https://doi.org/10.1007/978-3-642-23147-6_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23146-9

  • Online ISBN: 978-3-642-23147-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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