توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Particle Swarm Optimization and Genetic Algorithm to Optimizing the Pole Placement Controller on Cuk Converter
نویسنده(ها): ،
اطلاعات انتشار: دومین کنفرانس ملی مهندسی برق، سال
تعداد صفحات: ۵
In this paper a novel method to the design of pole placement controller for Cuk converters is presented This optimized method can control the voltage of DC–DC converter. In this method, average model of converter is employed and it is possible to approximate the system by a linear system and then linear control methods can be used. Pole Placement Control as one of these methods is designed by a systematic methodology based on Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The proposed controllers were simultaneously designed and they have provided a coordinated control action and a satisfactory performance for the Cuk converter, as shown in the results.<\div>
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