Optimum of fractional order fuzzy logic controller with several evolutionary optimization algorithms for inverted pendulum

Abstract

This paper compared the performance between Integer Order Fuzzy PID (IOFPID) and Fractional Order Fuzzy PID (FOFPID) controllers for inverted pendulum system as a controlling plant. The parameters of each controller were tuned with four evolutionary optimization algorithms (Social Spider Optimization (SSO), Swarm Optimization (PSO), Genetic Algorithm (GA), and Particle Ant Colony Optimization (ACO)). The comparisons were carried out between the two controllers IOFPID and FOFPID, as well as among the four optimization algorithms for the two controllers. The results of comparisons proved that the FOFPID controller with SSO has achieved the best time response characteristics and the least tuning time.

Measurement Enhancement of Ultrasonic Sensor using Pelican Optimization Algorithm for Robotic Application

“…The most type of optimization algorithm is the Grey-wolf optimization (Al-Qassar et al, 2021a) whale optimization algorithm (Al-Qassar et al, 2021b). The Swarm Optimization (PSO), Genetic Algorithm (GA), and Particle Ant Colony Optimization (ACO) (Ghaleb et al, 2023;Alawad et al, 2022;Humaidi et al, 2018). The butterfly optimization algorithm (Abdul-Kareem et al, 2022;Ali et al, 2022).…”