An integrated converter topology for torque ripple minimization in BLDC motor using an ITSA technique

This paper proposed an enhanced DC–DC converter structure with hybrid control algorithm to diminish the torque ripple of a Brushless DC (BLDC) motor. Initially, the modeling of BLDC motor is designed with enhanced Cuk converter. Here, the operation and executions of Cuk converter is enhanced with the utilization of switched inductor. At that point, the control mechanism incorporates two controlling loops like speed and torque control loop are used to enhance the BLDC performance. So as to enhance the control loop operation, the Improved Tunicate Swarm optimization algorithm (ITSA) is presented. In this paper, the ITSA algorithm is explored to control the speed and torque error from BLDC motor. Here, the TSA search behavior is improved with crossover and mutation operator. In this paper, the output of proposed strategy is subjected with input of speed and torque controllers. Based on that, the best optimal gain parameters are resolved to upgrade the controller operation with the help of the required objective functions. The proposed controller is performed on the MATLAB/Simulink platform and the torque ripple minimization performance is compared with other existing systems like Particle Swarm Optimization algorithm and Bacterial Foraging algorithm.