Modeling induction machine with intern turn short circuit

Abstract

The diagnosis of linear and nonlinear systems is a vast field of research in monitoring, contributing to the improvement of performance characteristics and ensuring the functionality of complex systems. Several methods and approaches have been proposed to solve the diagnostic problem in scientific research. Asynchronous motors are widely used in the industry and are applied in various applications requiring variable or constant speeds. The failure of these motors due to short circuits affecting some windings represents a significant portion of the causes of failure . This research proposes a technique for diagnosing three-phase asynchronous motors during operation, considering short circuits in the stator windings, and approaches the solution through monitoring. Initially, the model of the asynchronous motor and the design of its faults are coherently presented as independent components applied to the system. These approaches propose a new model for diagnosing three-phase asynchronous motors. Innovative monitoring techniques are integrated to detect faults using sliding mode techniques, and faults are logically identified using logical data processing and monitoring errors . Finally, the simulation results for normal operating conditions (fault-free) and conditions with faults in the motor stator are presented using Matlab software to display the simulation.