International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Design of Interval Type-2 Fuzzy Logic Controllers Based on Several Evolutionary Optimization Algorithms for Inverted Pendulum System

Abstract

This paper compared the performance between type-1 and type-2 of fuzzy logic controller for inverted pendulum system as a controlling plant. The parameters of each controller were tuned with four of evolutionary optimization algorithms (Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Social Spider Optimization (SSO). The comparisons carried out between the controllers of fuzzy type-1and fuzzy type-2 as well as between several optimization algorithms with fuzzy typ-2 itself. The results of comparisons proved that the fuzzy type-2 controller with SSO has been achieved the best time response characteristics and the least tuning time.

Country : Iraq

1 Ahmed Faisal Ghaleb2 Ahmed Alaa Oglah

  1. Computer Engineering Branch, Department of Control and Systems Engineering, University of Technology, Iraq
  2. Computer Engineering Branch, Department of Control and Systems Engineering, University of Technology, Iraq

IRJIET, Volume 4, Issue 6, June 2020 pp. 11-25

doi.org/10.47001/IRJIET/2020.406002

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