Contribution to induction motor control for electric traction based on intelligent techniques

dc.contributor.author	Zairi, Raid
dc.contributor.author	Salmi, Salah
dc.date.accessioned	2025-04-21T17:00:24Z
dc.date.available	2025-04-21T17:00:24Z
dc.date.issued	2021
dc.description.abstract	The negative impact of CO2 emissions from diesel is forcing the electrification of rail systems to reduce gas emissions. In the case of electric traction the induction motor is considered in many applications as the best solution. This paper presents an intelligent strategy to improve the control performance of the asynchronous motor in a railway traction chain. The technique used to control this motor is IFOC because of its good suitability on the one hand its robustness, of which speed, torque and flux play an essential role in terms of the dynamic parameters of the system. The maximum torque and efficiency are obtained by controlling the speed by the conventional PI controller and that of fuzzy logic and neural network. The simulation results obtained by Matlab/Simulink show that the artificial intelligence ensures the best performance in terms of robustness, stability and fidelity during the sudden variation of the speed and torque.
dc.identifier.uri	http://dspace.univ-oeb.dz:4000/handle/123456789/21956
dc.language.iso	en
dc.publisher	University of Oum El Bouaghi
dc.subject	Railway traction Chain; IFOC; Artificial intelligence; machine; Simulation
dc.title	Contribution to induction motor control for electric traction based on intelligent techniques
dc.type	Article

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