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

Autor:	Ahmed Faisal Ghaleb, Ahmed Alaa Oglah, Amjad J. Humaidi, Abdulkareem Sh. Mahdi Al-Obaidi, Ibraheem Kasim Ibraheem
Rok vydání:	2023
Předmět:	Environmental Engineering Materials Science (miscellaneous) Architecture General Engineering Management Science and Operations Research Information Systems
Zdroj:	International Review of Applied Sciences and Engineering. 14:1-12
ISSN:	2063-4269 2062-0810
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2af83aeb0e1fd9ea008206cab475a888 https://doi.org/10.1556/1848.2021.00375 Zobrazit plný text záznamu