Open AccessArtificial Intelligence Based Vector Controller for Switched Reluctance Motor SRM
Author(s) -
Patti Ranadheer,
N. Prabakaran
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b2533.129219
Subject(s) - switched reluctance motor , control theory (sociology) , torque , controller (irrigation) , reluctance motor , direct torque control , computer science , matlab , control engineering , engineering , induction motor , control (management) , voltage , artificial intelligence , physics , electrical engineering , biology , agronomy , thermodynamics , operating system
The prevalence of the Switched Reluctance Motors (SRMs) increments step by step because of its points of interest, for example, Simple structure, low cost, less weight, high effectiveness and high beginning torque when contrasted with regular motors. SRM is an electric motor which has invaluable highlights that qualifies it to be utilized in electric vehicle, aviation and industrial applications. In this paper, the switched reluctance motor is controlled using vector control by AI controller (fuzzy) so as to limit the torque ripples by directing torque inside indicated hysteresis band. AI Control of SRM encouraged through an irregular converter. The proposed AI controllers are executed in MATLAB/SIMULINK for specified SRM parameters. As indicated by the attained outcomes the SRM behavior is better when impelled by AI controller in contrast with usual controllers.