Abstract
Interest on the wound-field flux switching machines (WF-FSMs) in the scientific community have increased due to their high reliability, low cost, and absence of magnets. In the context of global sustainability, it is required that WF-FSMs must fulfill physical, technological, and environmental requirements, through design and optimization studies. This study provides a comprehensive evaluation of the state-of-the-art technologies relevant to multi-objective optimization and performance analysis of WF-FSMs. Several efficient optimization strategies from recent research works are highlighted and compared, showing that there are research gaps on the integration of advanced control algorithms and use of robust optimization methods. Some future optimization initiatives are offered including smart design optimization method for robust design and production of WF-FSMs. The proposed novel system uses cloud computing and big data services for smart optimization of WF-FSMs.
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