Efficiency Enhancement of Induction Motor Using Soft Computing Technique
J.Arulvadivu1, P.Palpandian2, S.Manoharan3
1J.Arulvadivu, Assistant Professor, Department of Electronics and Instrumentation Engineering, Karpagam College of Engineering, Coimbatore, India.
2P.Palpandian, Assistant Professor, Department of Electronics and Instrumentation Engineering, Karpagam College of Engineering, Coimbatore, India.
3S.Manoharan, Professor and Head, Department of Electronics and Instrumentation Engineering, Karpagam College of Engineering, Coimbatore, India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript Published on 22 March 2019 | PP: 656-662 | Volume-8 Issue-5S April 2019 | Retrieval Number: ES3500018319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Induction motor is predominently used as driver for industrial and commertial applications. Although induction motor has many significance it offers poor efficiency when the applied load on a motor is low. This factor limits the application of induction motor for lighter torque conditions. So its become mandatory enhance the efficiency of motor when the applied load is lesser. It is possibleto improve the performance of a motor by means of mathematical modelling. In this the first principle model of an motor is developed. The efficiency of a motor for various load condition is calculated from the data obtained from mathematical model by considering all the losses associated with motor. The performance of model is evaluated for different control algorithms like fuzzy logic and Particle swarm optimization.
Keywords: Induction Motor, Mathematical Model, Fuzzy Logic, Particle Swarm Optimization.
Scope of the Article: Fuzzy Logic