Vector Control Based Speed and Flux estimation in Switched Reluctance Motor Using ANN Controller

A switch reluctance motor (SRM) is individually excited, doubly-salient electric machine having characteristics of torque production due to variable reluctance. A increased activity in the intelligent control methods consisting artificial neural networks (ANN) and fuzzy have made them suitable for S...

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Published in2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) pp. 10 - 14
Main Authors Babitha, S, Kulkarni, V., Koujalagi, Jyothi.P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2019
Subjects
ANN
Artificial neural networks
Rotors
Switch Reluctance Motor
Switched reluctance motors
Switches
Switching Table
Torque
Vector Control
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Summary:A switch reluctance motor (SRM) is individually excited, doubly-salient electric machine having characteristics of torque production due to variable reluctance. A increased activity in the intelligent control methods consisting artificial neural networks (ANN) and fuzzy have made them suitable for SRM applications. This paper presents a study of different controllers for switch reluctance motor. The stator current and flux are estimated using ANN Technique. The ANN controller uses a switching table and vector control method to generate gating signals. MATLAB/Simulink is used for fixed parameters of SRM. The advantages of the ANN model is that no prior knowledge is required (model or equation).
DOI:10.1109/RTEICT46194.2019.9016823