Modified Whale Algorithm-Based Optimization for Fractional Order Concurrent Diminution of Torque Ripple in Switch Reluctance Motor for EV Applications

Abstract

This work proposes a new multi-objective optimization technique for concurrent diminution of torque ripple with the regulation of the speed of a 75 Kilowatt, 8/6, 4-phase SRM based on a double close loop, modified whale algorithm optimized fractional order proportional integral (MWAO FO-PI) control with a commutation angle controller. The system is analyzed and designed in MATLAB/SIMULINK environment. First, the performance of MWAO is tested on 30-dimensional standard benchmark functions. It is found that MWAO performance is better when examined on 30-dimensional standard benchmark functions, compared with WOA, and another six recently proposed state-of-art functions. Then, a double loop control based on the MWAO FO-PI controller is designed and implemented for concurrent diminution of torque ripple with the regulation of the speed of a 75 Kilowatt, 8/6, 4-phase SRM with a commutation angle controller. It was found that the percentage improvement achieved in the combined objective optimization function with the MWAO FO-PI controller was 10.044% in comparison with the MWAO PI controller, and 9.0597% compared with the WOA PI controller. It is also proved that MWAO FO-PI-based double close loop control of SRM provides less torque ripple, better tracking of speed with a reference value of speed and a better current profile in comparison with the MWAO PI controller and WOA PI controller. From all the above analysis, the conclusion is reached that the MWAO FO-PI controller provides very good overall system operational performance compared with MWAO PI and WOA PI controllers. The conclusion is reached based on simulation analysis and experimental validation is lacking.