An inherent torque ripple characterizes switched reluctance technology from conventional technology. The ultimate aim of this paper is to reduce the torque ripple of the switched reluctance motor drive using genetic neural network controller based direct torque scheme. In the proposed controller network appropriate bits of data are chosen for training and testing. The proper selection of the learning rate and momentum will help in weight adjustment. Here the error is reduced which proves that the selection of voltage vectors from the vector table is precise and its results in better torque response over a wide range of speed. The simulation results reveal that the torque ripples vary between 3.25% to 1.7% for the variation in load torque and the drive speed. The experimental results for the proposed controller reveal that the torque ripple varies between 3.7% to 2.1%. Both the simulation and hardware results illustrate the efficiency of the controller.

An inborn torque swell portrays changed hesitance innovation from traditional innovation. A definitive target of this paper is to minimize the torque wave of the exchanged hesitance engine drive utilizing Artificial Network Fuzzy Inference System based direct torque conspire. In the proposed controller arrange proper bits of information are picked for preparing and testing. The best possible choice of the learning rate and energy will help in weight change. The Intelligent controller gives high power over motor torque and speed, lessens rise time just as overshoot. Here the blunder is decreased which demonstrates that the determination of voltage vectors from the vector table is exact and its outcomes in better torque reaction over a wide scope of speed. The reenactment results uncover that the torque swells fluctuate between 3.75% to 2.25% for the variety in load torque and the drive speed. The experimental results for the proposed controller reveal that the torque ripple varies between 3.9% to 2.4% for the variation in speed. Both the recreation and equipment results delineate the effectiveness of the controller.

The modern electrical machines require higher efficiency in concern with pollution of the environment. Industries are focusing on bringing out new avenues in controlling the electric motors to adjust the speed and torque without compromising. The Direct Torque Control technique is suggested in this study. Slip control, which exploits a peculiar link between slip and torque, is the basic concept underlying this regulation. Direct torque control provides various benefits over field-oriented control, including reduced sensitivity to machine parameters, easy assembly, and quick dynamic torque response. As the voltage space vector is chosen in response to the inaccuracy in the flux linkage and torque, a current controller is unnecessary in this design. Low torque ripple, reduced noise, and reduced mechanical vibration are all attainable through proper torque management in the switching reluctance motor.