Browsing by Author "Chetat, B."

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Adaptive control in an asynchronous electric drive on the basis of an artificial neural network with calculation of the rotor flux
(2007) Chetat, B.; Kabash, N.; Ladygin, N.
An approach to the development of a system of vector control for an asynchronous electric drive adapting to variations of rotor resistance is considered. The approach is based on the “linearizing feedback” method implemented by means of a self-training neural network with calculations of the rotor’s resistance and flux
Artificial neural networks for real-time fault diagnostics in asynchronous electric drives
(Russian Electrical Engineering, 2003) Chetat, B.; Hoja, J.
The possibility of developing diagnostic systems for controllable asynchronous electric drives on the basis of neural networks combined in a decision-making system for the identification of various defects and determination of a rational diagnostic sequence is considered. The number of determinable diagnostic variables of the object permitting relatively reliable defect detection under external perturbations is optimized