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A PSO method with nonlinear time-varying evolution for optimal design of PID controllers in a pendubot system

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Abstract

A particle swarm optimization method with nonlinear time-varying evolution (PSO-NTVE) is employed in designing an optimal PID controller for asymptotic stabilization of a pendubot system. In the PSO-NTVE method, parameters are determined by using matrix experiments with an orthogonal array, in which a minimal number of experiments would have an effect that approximates the full factorial experiments. The PSO-NTVE method and other PSO methods are then applied to design an optimal PID controller in a pendubot system. Comparing the simulation results, the feasibility and the superiority of the PSO-NTVE method are verified.

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Authors and Affiliations

  1. Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Douliou, Yunlin, 640, Taiwan

    Pi-Yun Chen

  2. Department of Electrical Engineering, National Yunlin University of Science and Technology, Douliou, Yunlin, 640, Taiwan

    Chia-Ju Wu

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

    Yu-Yi Fu & Chia-Nan Ko

  4. Department of Electrical Engineering, Chungchou Institute of Technology, Yuanlin, Changhua, 510, Taiwan

    Li-Chun Lai

Authors
  1. Pi-Yun Chen
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  2. Chia-Ju Wu
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  3. Yu-Yi Fu
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  4. Chia-Nan Ko
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  5. Li-Chun Lai
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Corresponding author

Correspondence to Chia-Nan Ko.

Additional information

This work was presented in part at the 14th International Symposium on Artificial Life and Robotics, Oita, Japan, February 5–7, 2009

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Chen, PY., Wu, CJ., Fu, YY. et al. A PSO method with nonlinear time-varying evolution for optimal design of PID controllers in a pendubot system. Artif Life Robotics 14, 58–61 (2009). https://doi.org/10.1007/s10015-009-0628-7

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  • DOI: https://doi.org/10.1007/s10015-009-0628-7

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