PSO BASED FUZZY LOGİC CONTROL DESİGN FOR A DC/DC BOOST CONVERTER
نویسندگان
چکیده
منابع مشابه
Boost Converter Controller Design Based on Particle Swarm Optimization ( PSO )
This paper proposes a novel optimization technique for the closed-loop controller design of a boost type DC-DC converter based on the Particle Swarm Optimization (PSO) algorithm. The design of the closedloop control parameters is framed as an optimization task such that the PSO algorithm can identify the controller parameters. An appropriate fitness function is then derived for the required obj...
متن کاملA Fuzzy Logic Based Two Inductor Boost Converter System
Abstract: In many power factor correction applications, the power level can reach maximum value and sometimes the input voltage also will be too high. For high power and high voltage applications the inductor volume and weight is the major concern of the conventional boost converter. In this paper the two inductor boost converter is adopted which uses smaller inductors yielding high power densi...
متن کاملA Fuzzy Controller Synthesis for a Boost Converter
The aim of this paper is to develop an accurate small signals model for a Boost converter operating in continuous conduction mode, and including the internal resistors of elements. This model is then used to synthesise a fuzzy logic controller that guarantees the output voltage regulation with desired performances. A comparative study illustrates the efficiency, the robustness and the flexibili...
متن کاملA New Structure of Buck-Boost Z-Source Converter Based on Z-H Converter
In this paper, a new structure for buck-boost Z-source converter based on Z-H topology is proposed. The proposed converter consists of two LC networks similar to the conventional Z-source and Z-H converters. One of the characteristics of the proposed structure is that, without any changing in its’ power circuit, it can be used in different conversions such as dc/dc, dc/ac and ac/ac. This unique...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mugla Journal of Science and Technology
سال: 2017
ISSN: 2149-3596
DOI: 10.22531/muglajsci.272730