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  • 标题:Implementation of Non-Linear Controller for Contemporary DC-DC Converter
  • 本地全文:下载
  • 作者:K. Ramash Kumar ; N. Arunkumar ; T. S. Sivakumaran
  • 期刊名称:International Journal on Electrical Engineering and Informatics
  • 印刷版ISSN:2085-6830
  • 出版年度:2019
  • 卷号:11
  • 期号:4
  • 页码:622-637
  • DOI:10.15676/ijeei.2019.11.4.1
  • 出版社:School of Electrical Engineering and Informatics
  • 摘要:This article presents a analysis, design and implementation of non-linear controllersfor fundamental negative super lift Luo-Converter (FNSLLC) for purposes needing the stablepower source in battery operated portable devices, floppy/hard disk drives, LED TV,physiotherapy medical instrument, lap-top computers, mother board and fan in centralprocessing unit (CPU) applications etc.,. The FNSLLC is a advanced DC-DC convertertopology. The FNSLLC is erratic structure system (ESS) and its dynamic analysis is poor. Thelinear regulators for FNSLLC are poor operating analysis particularly during large sourcevoltage and load modifications. With the aim of improve the dynamic analysis, load voltageand coil current controls of FNSLLC, a linear quadratic regulator (LQR) plus fuzzy logiccontroller (FLC) is designed. The LQR is designed for FNSLLC with their state space dynamicequations. The controller formation of this converter consists of two loops like, current loop(CL) and voltage loop (VL). In this study, LQR is act as a inner CL for manipulating the coilcurrent of FNSLLC, but the FLC is act as a VL for controlling the load voltage of FNSLLC.The FLC is developed depending on the same system activities and qualitative linguisticcontrol rules. The performance of FNSLLC using LQR plus FLC is verified at variousoperating states by building both in MATLAB/Simulink and prototype field programmablearray (FPGA) models in comparisons with LQR plus proportional double integral controller(PDIC). The results and time domain specifications analyze are presented to prove the adroit ofdesigned controller in different provinces.
  • 关键词:Super lift Luo-converter; Linear quadratic regulator; Fuzzy logic regulator; State;Space Averaging Modeling
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