Direct Torque Control of Sensorless BLDC Motor Using Artificial Neural Networks
N. Jayanth1, P.V.N.R. Varunteja2, T. Teja Sreenu3
1N Jayanth, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India.
2P.V.N.R. Varuntej, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India.
3T Teja Sreenu, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1228-1231 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6861048419/19©BEIESP
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Abstract: Brushless DC motor and permanent magnet synchronous motor are known as electronically commuted motors which does not have brushes. BLDC motor have a higher efficiency compared to brushed motor. Sensored BLDC motors have facing problems on temperature sensitive, higher cost, space. An Alternative solution is sensor less method. In sensor less methods We want evaluate the speed measuring by Back EMF method. The drawback in BLDC motor is torque pulsation. In BLDC motor we get high torque ripples in order to minimize the ripples we are using direct torque control method. we are using ANN (Artificial Neural Network) instead of PI controller because in ANN is faster time response than pi. We are using ANN for better response and reduce the minor errors automatically. In this paper we are going to reduce the ripple torque using Artificial Neural Network and We implement this method using MATLAB/Simulink software
Keywords: Sensor Less BLDC Motor, Artificial Neural Network, Direct Torque Control ,Back EMF.9
Scope of the Article: Artificial Intelligence and Machine Learning