Control and automation of Asynchronous motor using Fuzzy logic

  • Mohammed BOUZIDI Department of Science and Technology, Institute of Science and Technology, University Center of Tamanrasset, Algeria
  • Abdelkader HARROUZ Laboratoire de Développement Durable et d’information (LDDI), faculté des Science et de la Technologie, Université Ahmed Draia, Adrar, Algeria
  • Smail Mansouri Laboratory of Energy, Environment and Systems of Information (LEESI), University Ahmed Draia Adrar, Algeria.
Keywords: Asynchronous motor, FLC, Fuzzy control, Fuzzy PI regulator, Vector control

Abstract

In this paper, we present the design of an intelligent approach based on adaptive fuzzy logic applied to the speed controller for a three-phase asynchronous motor. In this way, the main objective of applying the technique of fuzzy logic for the control of the speed of rotation with the variation of the resistance of the rotor, also to obtain a variable of high performance of the speed drive system and the stability of the electromechanical system in the region at high and low speed.

References

R.LALALOU, T.BAHI, N.E.DEBACHE, «Réglage de la vitesse d’une machine asynchrone par logique floue et conventionnelle », Revue des sciences de la technologie «Synthèse», publication de l’université Badji Mokhtar Annaba, Algérie, N°11 juin 2002

A.MECHERNENE, M.ZERIKAT, M.HACHLEF, «Régulation floue de la vitesse d’un moteur asynchrone dans une commande vectorielle par orientation du flux rotorique », 8eme Conférence Internationale des Sciences et Techniques de l’Automatique – STA’07, RME-192, Monastir-Tunisie, 05-07-2007

A.MILOUDI, «Etude et conception de régulateurs robustes dans différentes stratégies de commandes d’un moteur asynchrone», thèse en vue de l’obtention du diplôme de Doctorat es-sciences en électrotechnique, Université des sciences et de la technologie Mohamed Boudiaf Oran, Faculté de génie électrique, Département d’électrotechnique, soutenue en 2006.

A.CHAARI, M.SOLTANI, M.GOSSA, «Comparative study between the conventional regulators and fuzzy logic controller», 8eme Conférence Internationale des Sciences et Techniques de l’Automatique – STA’07, ACS-295, Monastir-Tunisie, 05-07-2007

P. Boskoski, M. Stankovski, "Neuro-Fuzzy Controllers and Application to Autonomous Robots", Mechanics, Automatic Control and Robotics, vol. 7, no.1,pp.123-132, 2008.

Harrouz A, Tahiri, F. Bekraoui, F. Boussaid I. Modelling and Simulation of Synchronous Inductor Machines. Algerian Journal of Renewable Energy and Sustainable Development, 2019, 1(1),8-23. https://doi.org/10.46657/ajresd.2019.1.1.2

Arama F.Z, Laribi S, Ghaitaoui T. A Control Method using Artificial Intelligence in Wind Energy Conversion System. Algerian Journal of Renewable Energy and Sustainable Development, 2019, 1(1),60-68. https://doi.org/10.46657/ajresd.2019.1.1.6

L. Cherroun and M. Boumehraz, "Intelligent Systems based on Reinforcement Learning and Fuzzy Logic Approaches, Application to Mobile Robotic", The IEEE International Conference on Information Technology and e-Services (ICITeS'2012), Tunisia, pp. 431-436, 2012

L. Cherroun and M. Boumehraz, "Fuzzy Logic and Reinforcement Learning based Approaches for Mobile Robot Navigation in Unknown Environment", The Mediterranean Journal of Measurement and Control (MEDJMC), vol. 9, no. 3, pp.109-117, 2013

Published
2019-12-15
How to Cite
BOUZIDI, M., HARROUZ, A., & Mansouri, S. (2019). Control and automation of Asynchronous motor using Fuzzy logic . Algerian Journal of Renewable Energy and Sustainable Development, 1(02), 154-171. Retrieved from https://ajresd.univ-adrar.edu.dz/index.php?journal=AJRESD&page=article&op=view&path[]=44
Section
Articles

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