Technological Advances of Speed Control of Induction Motor with PI and Fuzzy Logic Controllers
Saahithi S1, Raja Shekar P Mandi2
1Burri Ankaiah, Assistant Professor, Department of EEE, REVA University, Bangalore (Karnataka), India.
2Dr. Raja Shekar P. Mandi, Professor & Director, Department of EEE, REVA University, Banglore (Karnataka), India.
Manuscript received on 23 February 2020 | Revised Manuscript received on 06 March 2020 | Manuscript Published on 18 March 2020 | PP: 41-45 | Volume-8 Issue-6S March 2020 | Retrieval Number: F10090386S20/2020©BEIESP | DOI: 10.35940/ijrte.F1009.0386S20
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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: At the present scenario, three-phase induction motors (IM) are having wide applications in the industries. So, the need for an effective controlling technique is compulsory. Various techniques are there to control the speed of IM. Soft computing techniques are having in a great improvement in the recent trends. This paper discusses on the scalar control technique of induction motor for conventional PI and fuzzy logic controller. The performance of an induction motor is simulated using MATLAB/Simulink with PI and fuzzy controllers, the results are analyzed and the techno feasibility of both the controllers is presented in detail. Torque-speed (T-N) characteristics of an induction motor for a traditional PI model are considered and compared with rules-based fuzzy logic.
Keywords: Fuzzy Logic, Induction Motor, MATLAB/ Simulink.
Scope of the Article: Fuzzy Logics