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This paper deals with the stator winding faults monitoring in the vector controlled induction motor drives. Two control methods were taken for analysis, namely the direct field oriented control - DFOC and the direct torque control - DTC. In both control structures the induction motor is supplied form two-level voltage inverter with space vector modulation (SVM). In order to detect the early stage...
In this paper a new simple diagnostic technique of single IGBT open-circuit faults for a two level voltage inverter-fed field oriented controlled induction motor drive is presented. A failure diagnosis is carried out utilizing a reference voltage vector analysis in stationary coordinates, without additional sensors. An extraction of fault information is based on monitoring the voltage vector time...
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 MRASCC estimator, where the induction motor is used as a reference model. The stator current estimator and...
In this paper the sensorless induction motor drive with MRAS-type speed and rotor-flux estimator is described and tested in a wide range of the rotor speed and flux. The dynamical and steady-state properties of the drive system dedicated to traction applications are tested in the low speed as well as under field weakening region. The sensorless induction motor drive is also tested from the point of...
This paper presents the application of the General Regression Neural Networks in the diagnostics of the induction motors. The specific fault symptoms of rotor damages included in measured stator current spectrum are proposed as elements of input vectors of GRNN. The structure and training procedure of such neural detector are described. Diagnostic results obtained by the proposed neural detector of...
In the paper a model reference adaptive control speed control (MRAC) using on-line trained fuzzy neural network (FNN) was applied to the sensorless induction motor drive system. In this control method fuzzy-logic controller is equipped with additional option for online tuning its chosen parameters. In the paper PI-type fuzzy logic controller is used as the speed controller, in the field oriented control...
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