Abstract
Optimization is an art of searching the best one/ones among a great number of feasible solutions. The main optimization target of electromagnetic devices and systems including electrical machines and drive systems is to determine a set of parameters involving material, topology and structural parameters to satisfy certain design specifications and constraints, such as output power, efficiency, volume, and cost. Engineers have been using optimization methods to optimize the designs of electromagnetic devices, components and systems for decades. This chapter aims to presents the optimization methods commonly used in the field of electrical machines and drive systems, as well as computational electromagnetics. Classic and modern intelligent optimization algorithms will be discussed firstly, followed by the multi-objective optimization algorithms. Four kinds of approximate models will be described, and the modelling methods will be discussed with two numerical examples.
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Lei, G., Zhu, J., Guo, Y. (2016). Optimization Methods. In: Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49271-0_3
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DOI: https://doi.org/10.1007/978-3-662-49271-0_3
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