—This paper deals with an analysis of the vector-controlled induction-motor (IM) drive with a novel model reference adaptive system (MRAS)-type rotor speed estimator. A stability-analysis method of this novel MRAS estimator is shown. The influence of equivalent-circuit parameter changes of the IM on the pole placement of the estimator transfer function and… (More)
This paper discusses a model reference adaptive sliding-mode control of the sensorless vector controlled induction motor drive in a wide speed range. The adaptive speed controller uses on-line trained fuzzy neural network, which enables very fast tracking of the changing speed reference signal. This adaptive sliding-mode neuro-fuzzy controller (ASNFC) is… (More)
In the paper the influence of the chosen sensors faults (rotor speed and stator current sensors) to the properties of vector controlled induction motor drive system are tested. Faults detection algorithms based on the simple signals from internal control structure are developed. The simulation tests carried out in Matlab/SimPowerSystem software. The… (More)
regulatora Mamdaniego , jak i do selekcji sygnałów adaptacji wag.
In this paper a performance analysis of the speed sensorless Direct Rotor-Field Control (DRFOC) structure of the induction motor (IM) drive with rotor faults and disturbance in DC-bus voltage conditions is presented. In the sensorless IM drive the rotor flux and speed is reconstructed using the MRAS<sup>CC</sup> estimator, where the induction motor is used… (More)
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.… (More)