Optimum of fractional order fuzzy logic controller with several evolutionary optimization algorithms for inverted pendulum
Optimum of fractional order fuzzy logic controller with several evolutionary optimization algorithms for inverted pendulum
Fájlok
Dátum
2023-02-13
Szerzők
Ghaleb, A.F.
Oglah , Ahmed Alaa
Humaidi, Amjad J.
Al-Obaidi, Abdulkareem Sh. Mahdi
Ibraheem, Ibraheem Kasim
Al-Obaidi, Abdulkareem Sh. Mahdi
Folyóirat címe
Folyóirat ISSN
Kötet címe (évfolyam száma)
Kiadó
Akadémiai Kiadó
Absztrakt
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 char-
acteristics and the least tuning time.
Leírás
Kulcsszavak
fuzzy PID, fractional order PID, GA, ACO, PSO, SSO