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A model predictive DTC algorithm used for the Lyapunov stability function based DTC of induction motor control is presented in the paper. It is proposed as an alternative to the classical approaches based on the look-up tables, where the contribution of electromotive force is not considered. An appropriate Lyapunov function is chosen and, based on its derivative, optimal stator voltage vector is determined...
For the calculation of the common mode (CM) ground current in voltage source - inverter fed induction machines a simplified (SHF) and a distributed (DHF) high-frequency equivalent circuit are compared. The SHF circuit needs measured parameters of the electric machines, but gives good results in comparison to the measured CM ground current. The DHF circuit predicts the CM currents purely from calculated...
The paper deals with the diagnostic problems of the converter-fed induction motors in the case of stator faults. For diagnostic purposes the neural detector was developed trained and tested using measurement data of negative components of the stator current and impedance, for different levels of stator failures, load torque and converter frequencies. Feedforward neural network with very simple internal...
In the paper a model reference adaptive sliding-mode control using on-line trained fuzzy neural network is applied to the sensorless induction motor drive system with MRAS type speed estimator. In this control structure adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller, in the direct field oriented control structure. Connective weights of this controller are trained...
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