Improvement of Fast Initial Speed Estimation Using Fuzzy Logic Control Technique for Induction Motors in the Low Speed Range
Anka Rao Mogili1, Sai Sateesh Kadiri2, M. Vijaya Kumar3
1Anka Rao Mogili, EEE department, JNTUA University, Ananthapuramu, India.
2Sai Sateesh Kadiri, EEE department, JNTUA University, Ananthapuramu, India.
3M. Vijaya Kumar, EEE department, JNTUA University, Ananthapuramu, India.
Manuscript received on 20 August 2019. | Revised Manuscript received on 08 September 2019. | Manuscript published on 30 September 2019. | PP: 3004-3011 | Volume-8 Issue-11, September 2019. | Retrieval Number: K23070981119/2019©BEIESP | DOI: 10.35940/ijitee.K2307.0981119
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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: The paper presents a fast initial speed estimation method resolved by using a Fuzzy logic controller. This is applied for sensorless induction motor drives under low speed operation based on the second order differential of the secondary flux. At restarting time of an induction motor, it produces unwanted disturbance torque. This disturbance can be reduced by fast estimation based on FLC. The performance of proposed method is tested by using MATLAB/Simulink and estimation time has been compared with conventional controller like PI. Simulation results shows that FLC is more efficient than PI control.
Keywords: Adaptive Flux Observer (AFO), Direct Current Injection (DCI), Fuzzy Logic Controller (FLC), Second Order Differential of the Secondary Flux (SOD-SF), Sensorless induction motors, Speed Estimator (SE).
Scope of the Article: Fuzzy Logics