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Our intention here was to highlight a replacement of adaptation algorithm in MRAS by the help of alternative artificial neural network (ANN) which has received great attention in recent years. The main objective was to find and design some alternative neural network within the electric drive control. After a short discussion of hardware components, an overview of radial basis function (RBF) neural...
Intention of this paper is to introduce the way how new types of artificial neural networks can be chosen in the control of electrical drives. The procedure is demonstrated through the use of rotor time constant adaptation method in the control of electrical drive. The procedure used to choose consists of determination of the problem, selection of proper artificial neural network, choosing of the...
In the paper there are presented results of method for rotor time constant adaptation with application of artificial neural network. The method employs the model reference adaptive system (MRAS). The adaptation algorithm is designed according to the Popov's criterion for hyperstability. The method is based on application of current model and voltage model of rotor flux in MRAS. The estimation of rotor...
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