2019 International Conference on Advanced Electrical Engineering (ICAEE) 2019
DOI: 10.1109/icaee47123.2019.9015162
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ADALINE-Based Speed Control For Induction Motor Drive

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Cited by 4 publications
(3 citation statements)
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“…The used multilayer perceptron (MLP) recurrent neural network (RNN) is trained with conventional backpropagation. [38] presents an ANN-based speed controller for induction motor drives using an ANN with adaptive linear neurons (ADALINE) trained with the Widrow-Hoff learning rule. The closed-loop system shows a significantly improved tracking performance compared to the standard PI speed controller.…”
Section: Artificial Neural Network In Electrical Drivesmentioning
confidence: 99%
See 1 more Smart Citation
“…The used multilayer perceptron (MLP) recurrent neural network (RNN) is trained with conventional backpropagation. [38] presents an ANN-based speed controller for induction motor drives using an ANN with adaptive linear neurons (ADALINE) trained with the Widrow-Hoff learning rule. The closed-loop system shows a significantly improved tracking performance compared to the standard PI speed controller.…”
Section: Artificial Neural Network In Electrical Drivesmentioning
confidence: 99%
“…As artificial neural networks are a promising technology, machine learning-based approaches in electrical drives have already been reported in numerous publications (see the recent overview preprint [30] with 259 references). Exemplary applications of ANNs in the field of electrical drive systems are: ANN-based speed, current or speed and current controllers [31][32][33][34][35][36][37][38], ANN-based parameter/system identification [39][40][41], ANN-based temperature or resistance estimation [42,43], ANN-based direct/predictive torque or model predictive control [44][45][46], ANN-based torque observers [47], ANN-based current waveform prediction [48], ANN-based encoderless control [49][50][51][52], ANN-based torque ripple reduction [53,54], ANN-based condition monitoring or fault detection [55][56][57][58], ANN-based optimal pulse patterns [59], and ANN-based multi-objective optimization for machine design [60].…”
Section: Introduction 1motivationmentioning
confidence: 99%
“…The data enters the input from the left and moves within N-1 delays. An Ndimensional vector is a TDL output that is made up of the current input data and the prior input signal [28].…”
Section: Adaline Algorithmmentioning
confidence: 99%