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Order diminution and its application in controller design using salp swarm optimization technique

Author

Listed:
  • Nafees Ahamad

    (DIT University)

  • Afzal Sikander

    (Dr. B. R. Ambedkar National Institute of Technology Jalandhar)

  • Gagan Singh

    (DIT University)

Abstract

Order diminution (OD) or model order reduction (MOR), a very important field of System Engineering, has been explored by many researchers. Different methods are available for reducing the complexity of a control system, which are subsequently utilized to get a cost-effective controller. Model order reduction is done by either using classical methods or by using optimization techniques. In optimization algorithms, accuracy, complexity, and convergent rate are the main criteria for comparison in OD. This paper contributes a novel fast and more accurate OD (MOR) technique based on Salp Swarm Optimization. Further, the proposed method is applied to a time-delay system in four different manners. The effectiveness of the proposed technique is shown by reducing four benchmark systems, including a system with time delay and an 84th order system. Finally, the application of OD is shown by designing a reduced-based H-infinity controller for the 84th order system which results in a great saving of time ( $$\approx 96\%$$ ≈ 96 % ). The obtained results are comparable or better than those from the existing well-known order reduction techniques available in the literature.

Suggested Citation

  • Nafees Ahamad & Afzal Sikander & Gagan Singh, 2022. "Order diminution and its application in controller design using salp swarm optimization technique," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 933-943, April.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:2:d:10.1007_s13198-021-01367-6
    DOI: 10.1007/s13198-021-01367-6
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    References listed on IDEAS

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    1. Garg, Harish, 2016. "A hybrid PSO-GA algorithm for constrained optimization problems," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 292-305.
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