Certain investigation on reduction of commutation torque ripple in bldc motor by using zeta converter

Abstract

Brushless DC motors (BLDC) are widely used for many of the industrial applications, automobile applications etc. The main aim of this research is to reduce the torque ripple and to improve the speed control and power factor of BLDC motor. The first objective is to minimize the torque ripple is acquired by different factors such as cogging torque, the synergy between the air-gap flux harmonics and the MMF, or mechanical imbalances. Torque ripple is commonly undesirable parameter, since it causes noise and vibrations, and clout reduce the lifetime of the motor. Comprehensive torque ripple can crave measures such as skewing or changes to the machine geometry that reduces the general pursuance of the motor parameters. The second objective is to analysis and architecture of the BLDC motor clearly declare the speed control performance characteristics and parameters in this proposed methodology. Parameter variation for brushless DC motor is estimated in the proposed motor speed control using BAT algorithm based PIC controller. There are several methods of range could be done for the speed control applications of BLDC motor are: dynamic load variation, least-squares approximation technique, and a closedloop agitation observer. In this third proposed model is to improve the performance of power factor, speed control and torque ripple in such motors, Zeta Converter is used. The motor is powered by a DC electric source (with help of a converter) and an integrated inverter power supply which provides sequence of pulses to the motor. It can operate as both bucking and boosting voltage converter. Speed control of BLDC motor can be achieved by controlling the voltage of the DC link capacitor. It eliminates the torque ripples and controls the speed of the BLDC motor. The proposed system also introduces a new technique named to be Internet of Things (IOT) in which embedded system is integrated into the wireless network. During this technique, different sensors are connected with the BLDC motorand the values are extracted using a PIC microcontroller. The result analysis proceeds in real time monitoring of current, voltage, speed and temperature in BLDC motor. The proposed drive model is experimentally simulated in MATLAB/Simulink and the obtained results are validated practically on a developed prototype model of the drive newline