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Fuzzy Adaptive Control of an Induction Motor Drive

Mohamed Rachid Chekkouri
Jordi Català i López
Emiliano Aldabas Rubira
Luis Romeral Martínez

Puni tekst: engleski, pdf (1 MB) str. 113-122 preuzimanja: 3.188* citiraj
APA 6th Edition
Chekkouri, M.R., Català i López, J., Aldabas Rubira, E. i Romeral Martínez, L. (2003). Fuzzy Adaptive Control of an Induction Motor Drive. Automatika, 44. (3-4), 113-122. Preuzeto s
MLA 8th Edition
Chekkouri, Mohamed Rachid, et al. "Fuzzy Adaptive Control of an Induction Motor Drive." Automatika, vol. 44., br. 3-4, 2003, str. 113-122. Citirano 21.10.2021.
Chicago 17th Edition
Chekkouri, Mohamed Rachid, Jordi Català i López, Emiliano Aldabas Rubira i Luis Romeral Martínez. "Fuzzy Adaptive Control of an Induction Motor Drive." Automatika 44., br. 3-4 (2003): 113-122.
Chekkouri, M.R., et al. (2003). 'Fuzzy Adaptive Control of an Induction Motor Drive', Automatika, 44.(3-4), str. 113-122. Preuzeto s: (Datum pristupa: 21.10.2021.)
Chekkouri MR, Català i López J, Aldabas Rubira E, Romeral Martínez L. Fuzzy Adaptive Control of an Induction Motor Drive. Automatika [Internet]. 2003 [pristupljeno 21.10.2021.];44.(3-4):113-122. Dostupno na:
M.R. Chekkouri, J. Català i López, E. Aldabas Rubira i L. Romeral Martínez, "Fuzzy Adaptive Control of an Induction Motor Drive", Automatika, vol.44., br. 3-4, str. 113-122, 2003. [Online]. Dostupno na: [Citirano: 21.10.2021.]

Industrial applications increasingly require electric drives with good position command tracking and load regulation responses. These conditions can only be achieved by adaptive-type control because of the loading conditions, inertias and system parameters all change during the motion. For this paper an Adaptive Speed Controller for AC drives with a very low computational algorithm was developed. The authors propose self-tuning control based on a supervisory fuzzy adaptation. The supervisor continuously monitors the status of the system and changes the Ki parameter of a standard PDF controller to adapt it to the plant’s evolution. The fuzzy logic adaptive strategy was readily implemented and showed very fast learning features and very good tracking and regulation characteristics. The stability of the controller developed was also analysed, and experimental results demonstrated the robustness of the suggested algorithm in contending with varying load and torque disturbance.

Ključne riječi
adaptive control; adjustable speed drives; fuzzy logic; motion control; variable speed drives

Hrčak ID: 6770



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