Owing to the robust structure of switched reluctance machines, high-speed operations are preferred to achieve higher power densities. Generally, at high speeds, single pulse control is applied. However, its control parameter set is not unique. This paper proposes an algorithm based on design of experiments that simultaneously allows the calculation of optimal control parameters for an operating area and the minimization of the total machine losses. The designed experiments are finite-element analyses (FEAs) considering both iron and copper losses. A Pareto search algorithm solves the proposed multi-objective optimization problem. The results for different response surfaces are compared considering the errors in torque production and machine loss prediction. A reduced response surface based on 15 FE-runs shows a mean error of 1.9%, whereas the maximum error is 6.3% for machine losses within the validation operating area.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.