Experimental design and genetic algorithm optimization of a fuzzy-logic supervisor for embedded electrical power systems
نویسندگان
چکیده
The embedded power systems are nowadays developing at high pace. Hybrid-electric vehicles, full-electric vehicles, airplanes, ships, high-speed trains, all share a common point – the embedded electrical power system. This paper aims to present an optimization methodology of a fuzzy-logic supervision strategy. The optimization objectives are to minimize the DC-link voltage variations, and to increase the system efficiency by reducing the dissipated power. For that, a methodology involving the experimental design and genetic algorithm will be presented. The simulation and experimental results are validating the proposed procedure. © 2012 IMACS. Published by Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Mathematics and Computers in Simulation
دوره 91 شماره
صفحات -
تاریخ انتشار 2013