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Modified Whale Optimisation Technique for Combined Objective of Torque Ripple Minimization & Speed Control of SRM Drive

Authors :
Dillip Ku. Sahoo
Nutan Saha
Sidhartha Panda
Source :
2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies.
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

In this work metaheuristic technique such as modified Hybrid Whale Optimization Algorithm (mWOA) is used for control of speed along with ripple reduction in output torque of 75 KW, 4-phase 8/6 Switched Reluctance Motor (SRM) drive. The objective is to develop a controller for combined goal of speed control and ripple reduction in output torque of SRM. Various performance factors such as gain of proportional controller & integral controller of speed controller as well as of current controller commutation angle values are considered for performance assessment of SRM. A comparison is made of the performance of SRM with implementation of modified Whale Optimization Algorithm (mWOA) & Whale Optimization Algorithm (WOA). It is seen that coefficient of torque ripple, ISE of current and objective function is reduced by mWOA algorithm as compared to WOA.

Details

Database :
OpenAIRE
Journal :
2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies
Accession number :
edsair.doi...........e0af64fb29585a9e40788224aa7b37f0
Full Text :
https://doi.org/10.1109/icepe50861.2021.9404396