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Modeling and Fuzzy FOPID Controller Tuned by PSO for Pneumatic Positioning System

Author

Listed:
  • Mohamed Naji Muftah

    (Department of Control and Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
    Department of Control Engineering, College of Electronics Technology, Bani Walid P.O. Box 38645, Libya)

  • Ahmad Athif Mohd Faudzi

    (Department of Control and Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
    Centre for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia)

  • Shafishuhaza Sahlan

    (Department of Control and Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
    Centre for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia)

  • Mokhtar Shouran

    (Department of Control Engineering, College of Electronics Technology, Bani Walid P.O. Box 38645, Libya
    Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

Abstract

A pneumatic cylinder system is believed to be extremely nonlinear and sensitive to nonlinearities, which makes it challenging to establish precise position control of the actuator. The current research is aimed at reducing the overshoot in the response of a double-acting pneumatic actuator, namely, the IPA positioning system’s reaction time. The pneumatic system was modeled using an autoregressive with exogenous input (ARX) model structure, and the control strategy was implemented using a fuzzy fractional order proportional integral derivative (fuzzy FOPID) employing the particle swarm optimization (PSO) algorithm. This approach was used to determine the optimal controller parameters. A comparison study has been conducted to prove the advantages of utilizing a PSO fuzzy FOPID controller over PSO fuzzy PID. The controller tuning algorithm was validated and tested using a pneumatic actuator system in both simulation and real environments. From the standpoint of time-domain performance metrics, such as rising time (tr), settling time (ts), and overshoot (OS%), the PSO fuzzy FOPID controller outperforms the PSO Fuzzy PID controller in terms of dynamic performance.

Suggested Citation

  • Mohamed Naji Muftah & Ahmad Athif Mohd Faudzi & Shafishuhaza Sahlan & Mokhtar Shouran, 2022. "Modeling and Fuzzy FOPID Controller Tuned by PSO for Pneumatic Positioning System," Energies, MDPI, vol. 15(10), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3757-:d:819664
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    References listed on IDEAS

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    1. Mokhtar Shouran & Fatih Anayi & Michael Packianather, 2021. "The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System," Energies, MDPI, vol. 14(18), pages 1-29, September.
    2. Ahmad ’Athif Mohd Faudzi & Nu’man Din Mustafa & Khairuddin Osman, 2014. "Force Control for a Pneumatic Cylinder Using Generalized Predictive Controller Approach," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-5, April.
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