Abstract
Switched reluctance motor is acquiring major attention because of its simple design, economic development, and reduced dependability. These attributes make switched reluctance motors superior to other variable speed machines. The major challenge associated with the development of a switched reluctance motor is its high torque ripple. Torque ripple produces noise and vibration, resulting in degradation of its performance. Various techniques are developed to cope with torque ripples. Practically, there exists not a single mature technique for the minimization of torque ripples in switched reluctance motors. In this research, a switched reluctance motor is modelled and analysed. Its speed and current control are implemented through artificial neural networks. Artificial neural network is found to be a promising technique as compared with other techniques because of its accuracy, reduced complexity, stability, and generalization. The Levenberg–Marquardt algorithm is utilized in artificial neural networks due to its fast and stable convergence for training and testing. It is found from research that artificial neural network-based improved control shows better performance of the switched reluctance motor. Realization of this technique is further validated from its mean square error analysis. Operating parameters of the switched reluctance motor are improved significantly. Simulation environment is created in Matlab/Simulink.
Highlights
Switched reluctance motor (SRM) is a type of stepper motor, an electric motor that runs by reluctance torque
Different configurations of SRM such as 12/8, 8/6, 6/4, and 4/2 are available but our focus is on 6/4 configuration. e three-phase asymmetrical power converter was employed to feed SRM. e converter has three legs, each of which consists of two freewheeling diodes and two insulated gate bipolar transistors (IGBTs)
A negative voltage is applied to the windings, and the stored energy is returned to power DC source through diodes. e position sensor reduces the fall time of currents in motor windings and controls the turn-on and turn-off angles of motor phases. ree hysteresis controllers generate IGBT drive signals by comparison of measured current with references and are used for separately controlling phase currents. e hysteresis band helps in determining IGBT switching frequency
Summary
Switched reluctance motor (SRM) is a type of stepper motor, an electric motor that runs by reluctance torque. SRM is an attractive alternative to AC and DC motors for general-purpose industrial drives, as well as for high-performance automotive drives and other applications because of its simple structure due to the absence of magnets, rotor conductors, and brushes. It is used instead of induction and DC motors in many applications because of its low construction cost, high reliability, high power density, fast dynamic response, good controllability ruggedness, and fault tolerance [6,7,8]
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