New Exploration/Exploitation Improvements of GWO for Robust Control of a Nonlinear Inverted Pendulum

Authors

  • Soumia Mohammed Djaouti Ecole Supérieure en Informatique de Sidi Bel-Abbes, Algeria
  • Mohamed Fayçal Khelfi Higher School of Electrical and Energetic Engineering of Oran, Algeria
  • Mimoun Malki Ecole Supérieure en Informatique de Sidi Bel-Abbes, Algeria
  • Salem Mohammed University of Mascara, Algeria

DOI:

https://doi.org/10.4114/intartif.vol26iss72pp30-43

Keywords:

GWO algorithm, DLH strategy, PID, Sliding mode control, Fuzzy logic control, Inverted pendulum

Abstract

Tuning a nonlinear inverted pendulum is a complex and uncertain optimization problem. In this paper, we develop two new GWO variants by introducing a DLH (Dimension Learning-based Hunting) module and new formulas to enhance the exploitation/exploration ratio aiming to avoid local minima. A statistical analysis is carried out to compare the two proposed approaches with five GWO variants. After that, they are used to tune a PID and FSMC controller. The obtained results are promising even when compared to other approaches

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Published

2023-06-10

How to Cite

Mohammed Djaouti, S., Khelfi, M. F. ., Malki, M. ., & Mohammed, S. (2023). New Exploration/Exploitation Improvements of GWO for Robust Control of a Nonlinear Inverted Pendulum. Inteligencia Artificial, 26(72), 30–43. https://doi.org/10.4114/intartif.vol26iss72pp30-43