The performance of Switched Reluctance Motor (SRM) drives is highly connected to the driving angles. In this paper, an algorithm $\text{is}$ proposed to ensure optimal SRM performance. A multi-objective grey wolf optimization is implemented to determine the Pareto frontier that includes a trade-off between efficiency and torque ripple. Sensitivity analyses are performed after the completion of the optimization step to understand the influence of driving angles on the performance of the SRM. The results show that the proposed optimization algorithm is efficient in locating the optimal control parameters in the entire operating speed range, returning an R2 of 98% in comparison to the benchmark.
Multiobjective Grey Wolf Optimization of Firing Angles for SRM Drives
21.06.2023
3373619 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
An Improved Dual Grey Wolf Optimization Algorithm for Unit Commitment Problem
Springer Verlag | 2017
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