Comparison of Ant Colony and Differential Evolution Optimization Methods Applied to a Design of Synchronous Reluctance Machine
| Autor: | Mario Klanac, Stjepan Stipetic, Damir Zarko |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
synchronous reluctance motor
geometry parametrization optimization differential evolution ant colony optimization MIDACO business.industry Computer science Rotor (electric) Ant colony optimization algorithms Control engineering Modular design Ant colony law.invention Quantitative Biology::Subcellular Processes Software law Differential evolution Stochastic optimization business MATLAB computer computer.programming_language |
| Zdroj: | 2019 International Conference on Electrical Drives & Power Electronics (EDPE). |
| DOI: | 10.1109/edpe.2019.8883939 |
| Popis: | This paper describes the process of synchronous reluctance motor design optimization on an example of a motor with circular barriers modeled using commercial finite element software Infolytica MagNet combined with two stochastic optimization methods implemented in Matlab environment. The goal is to present a generalized approach to parametrization of motor geometry which can be used for various types of rotor geometries, to demonstrate the modular approach to automated pre- processing and post-processing of the motor model in MagNet software, and to compare the performance of two very robust and powerful stochastic optimization algorithms (Differential Evolution and Ant Colony Optimization). |
| Databáze: | OpenAIRE |
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