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In this paper, a simple and effective algorithm for direct torque and flux control three phase induction motor drive is proposed. In this method, control technique is based on decouple between amplitude and angle of reference stator flux for determining required stator voltage vector. This proposed method eliminates the estimation of stator flux angle to generate stator voltage vector with constant...
This paper proposes an algorithm for direct flux and torque controlled sensorless three phase induction motor drive systems. This method is based on control of slip speed and decouple between amplitude and angle of reference stator flux for determining required stator voltage vector. Within the given sampling time, flux as well as torque errors are controlled by stator voltage vector which is evaluated...
Multi-phase ac motor drives are nowadays considered for various applications, due to numerous advantages that they offer when compared to their three-phase counterparts. Variable speed induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. This paper analyses operation of a Model Reference Adaptive System (MRAS)-based sensorless...
This paper presents speed sensorless direct torque control (DTC) of induction motor using artificial intelligence (AI). The artificial neural network (ANN) MRAS-based speed estimation is used. The error between the reference model and the neural network based adaptive model is used to adjust the weights by on-line back propagation (BP) training algorithm. The speed loop regulation is carried out by...
A speed estimator based Model Reference Adaptive Fuzzy Control (MRAFC) principle is presented in this paper. In classical MRAC, the adaptive law is a fixed P-I gain and the estimated speed has larger overshoot in deceleration mode. So we propose a developed adaptive law based fuzzy logic controller, in which the adjusted output variables based fuzzy rule bases are added to the respective initial values...
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