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Tuning of Interval Type-2 Fuzzy Precompensated PID Controller: GWO-ABC Algorithm Based Constrained Optimization Approach

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Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 425))

Abstract

With advances in technology, the control system becomes more complex and enhanced controllers are required for them. Fuzzy based controllers are always preferred for intelligent control of such systems. Fuzzy logic system is developed and advance versions are proposed. The interval type-2 fuzzy logic controller (IT2-FLC) has gained wide recognition for controlling systems with nonlinearities and uncertainties. This chapter presents systematic strategy to get maximum benefit from the shapes of the antecedent MF parameters. For experimental studies the interval type-2 fuzzy precompensated PID (IT2FP-PID) controller is designed for robotic arm and optimized for trajectory tracking problem. Various constraints are considered during optimization procedure. 60 parameters are tuned in a high dimensional problem using recent enhanced algorithm. The robustness of the controller in the presence of external disturbances, measurement noise and parameter variations is investigated. The results are compared with other equivalent counterparts. Minimization of performance metric integral time absolute error (ITAE) is selected as a objective function and hybrid grey wolf optimizer and artificial bee colony algorithm (GWO-ABC) is used.

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Author information

Authors and Affiliations

  1. Government College of Engineering, Jalgaon, India

    Prashant Gaidhane

  2. Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, India

    Anupam Kumar

  3. Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Kota, India

    Ritu Raj

Authors
  1. Prashant Gaidhane
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  2. Anupam Kumar
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  3. Ritu Raj
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Corresponding author

Correspondence to Prashant Gaidhane .

Editor information

Editors and Affiliations

  1. Research Chair of Graduate Studies, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  2. Department of Electronics and Communication Engineering, National Institute of Technology, Patna, India

    Anupam Kumar

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Gaidhane, P., Kumar, A., Raj, R. (2023). Tuning of Interval Type-2 Fuzzy Precompensated PID Controller: GWO-ABC Algorithm Based Constrained Optimization Approach. In: Castillo, O., Kumar, A. (eds) Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications. Studies in Fuzziness and Soft Computing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-031-26332-3_6

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