Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 4 No 6 (2020): Volume 4, Issue 6, June 2020 | Pages: 11-25
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 16-06-2020
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.
Fuzzy Logic Controllers, Optimization Algorithms, Inverted Pendulum System, Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization, Social Spider Optimization.
Ahmed Faisal Ghaleb, Ahmed Alaa Oglah, “Design of Interval Type-2 Fuzzy Logic Controllers Based on Several Evolutionary Optimization Algorithms for Inverted Pendulum System” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 4, Issue 6, pp 11-25, June 2020. https://doi.org/10.47001/IRJIET/2020.406002
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence