Open AccessImprovement of Fast Initial Speed Estimation Using Fuzzy Logic Control Technique for Induction Motors in the Low Speed Range
Author(s) -
Anka Rao Mogili,
Sai Sateesh Kadiri,
Mohan Kumar
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2307.0981119
Subject(s) - control theory (sociology) , induction motor , electronic speed control , fuzzy logic , matlab , pid controller , controller (irrigation) , torque , computer science , range (aeronautics) , direct torque control , control engineering , control (management) , engineering , physics , temperature control , artificial intelligence , voltage , agronomy , thermodynamics , aerospace engineering , electrical engineering , biology , operating system
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.