Hybrid WOA with Aid of ANFIS for Torque Ripple Minimization of SRM

K. Vinod Kumar, Dr.P. Ram Kishore Kumar Reddy and Dr.P. Sujatha

In high-temperature environments, the Switched Reluctance Motors (SRM) system has the benefits of mechanically simple, fault tolerant capability, low cost and robust structure able of use. However, for their widespread application, torque ripples of the SRM are one of the main obstructions. In SRM, this paper for the most part proposes a speed and current control way to deal with decrease the torque ripple. The dynamic conduct of the SRM is tried as far as the parameters, for example, the speed, current, and torque. The motor speed is controlled and decreased the torque ripple set up on the parameters. From that point onward, for controlling the speed of the SRM, the control sign is produced. Consequently, this paper proposed an improved control topology for speed and current control circle to lessen the torque ripples. Here, the hybrid Whale Optimization Algorithm (WOA) and ANFIS (Artificial Neuro Fuzzy Interference System) based Fractional Order PID (FOPID) controller is recommended to test the speed and torque of SRM. To get the ideal consequences of FOPID controller, the addition parameters are streamlined. The WOA algorithm is connected to accomplish the tuning gain parameter of the FOPID controller. The WOA algorithm is working built up on the emulates the social conduct of humpback whales turns into the ideal addition parameters for tuning reason. ANFIS is connected and refreshing the weighting parameters to raise the exhibition of the WOA. In view of the refreshed capacity, the ideal outcomes are accomplished and assessed the test system. In the Matlab/Simulink platform, the test system with proposed technique is imagined as the 8/6SRM and this is actualized. The exhibition investigation of the proposed strategy is set up and appeared differently in relation to the current procedures, such as Firefly (FA), Moth Flame Optimization (MFO), and WOA techniques.

Volume 11 | 10-Special Issue

Pages: 833-853

DOI: 10.5373/JARDCS/V11SP10/20192880