FPGA-Based Cost-Effective and Resource Optimized Solution of Predictive Direct Current Control for Power Converters

Recent advances in power converter applications with highly demanding control goals require the efficient implementation of superior control strategies. However, the real-time application of such control strategies demands high computational power that necessitates efficient digital controllers like...

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Autores principales: Deepa Sankar, Lakshmi Syamala, Babu Chembathu Ayyappan, Mathew Kallarackal
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:73f2fa2863f84022960ea46cb991d1cb2021-11-25T17:27:44ZFPGA-Based Cost-Effective and Resource Optimized Solution of Predictive Direct Current Control for Power Converters10.3390/en142276691996-1073https://doaj.org/article/73f2fa2863f84022960ea46cb991d1cb2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7669https://doaj.org/toc/1996-1073Recent advances in power converter applications with highly demanding control goals require the efficient implementation of superior control strategies. However, the real-time application of such control strategies demands high computational power that necessitates efficient digital controllers like field programmable gate array (FPGA). The inherent parallelism offered by FPGAs minimizes the execution time and exhibits an excellent cost-performance trade-off. In addition, rapid advancements in FPGA technology with a broad portfolio of intellectual property (IP) cores, design tools, and robust embedded processors resulted in a design paradigm shift. This article proposes a low-cost solution for the resource-optimized implementation of dynamic, highly accurate, and computationally intensive finite state-predictive direct current control (FS-PDCC). The challenges for implementing complex control algorithms for power converters are discussed in detail, and the control is implemented in Intel’s low-cost non-volatile FPGA-MAX<sup>®</sup>10. An efficient design methodology using finite state machine (FSM) is adopted to achieve time/resource-efficient implementation. The parallel and pipelined architecture of FPGA provides better resource utilization with high execution speed. The experimental results prove the efficiency of FPGA-based cost-effective solutions that offer superior performance with better output quality.Deepa SankarLakshmi SyamalaBabu Chembathu AyyappanMathew KallarackalMDPI AGarticlefield programmable gate arrayintellectual property corefinite control set model predictive controlfinite state machineresource optimizationvoltage source inverterTechnologyTENEnergies, Vol 14, Iss 7669, p 7669 (2021)
institution DOAJ
collection DOAJ
language EN
topic field programmable gate array
intellectual property core
finite control set model predictive control
finite state machine
resource optimization
voltage source inverter
Technology
T
spellingShingle field programmable gate array
intellectual property core
finite control set model predictive control
finite state machine
resource optimization
voltage source inverter
Technology
T
Deepa Sankar
Lakshmi Syamala
Babu Chembathu Ayyappan
Mathew Kallarackal
FPGA-Based Cost-Effective and Resource Optimized Solution of Predictive Direct Current Control for Power Converters
description Recent advances in power converter applications with highly demanding control goals require the efficient implementation of superior control strategies. However, the real-time application of such control strategies demands high computational power that necessitates efficient digital controllers like field programmable gate array (FPGA). The inherent parallelism offered by FPGAs minimizes the execution time and exhibits an excellent cost-performance trade-off. In addition, rapid advancements in FPGA technology with a broad portfolio of intellectual property (IP) cores, design tools, and robust embedded processors resulted in a design paradigm shift. This article proposes a low-cost solution for the resource-optimized implementation of dynamic, highly accurate, and computationally intensive finite state-predictive direct current control (FS-PDCC). The challenges for implementing complex control algorithms for power converters are discussed in detail, and the control is implemented in Intel’s low-cost non-volatile FPGA-MAX<sup>®</sup>10. An efficient design methodology using finite state machine (FSM) is adopted to achieve time/resource-efficient implementation. The parallel and pipelined architecture of FPGA provides better resource utilization with high execution speed. The experimental results prove the efficiency of FPGA-based cost-effective solutions that offer superior performance with better output quality.
format article
author Deepa Sankar
Lakshmi Syamala
Babu Chembathu Ayyappan
Mathew Kallarackal
author_facet Deepa Sankar
Lakshmi Syamala
Babu Chembathu Ayyappan
Mathew Kallarackal
author_sort Deepa Sankar
title FPGA-Based Cost-Effective and Resource Optimized Solution of Predictive Direct Current Control for Power Converters
title_short FPGA-Based Cost-Effective and Resource Optimized Solution of Predictive Direct Current Control for Power Converters
title_full FPGA-Based Cost-Effective and Resource Optimized Solution of Predictive Direct Current Control for Power Converters
title_fullStr FPGA-Based Cost-Effective and Resource Optimized Solution of Predictive Direct Current Control for Power Converters
title_full_unstemmed FPGA-Based Cost-Effective and Resource Optimized Solution of Predictive Direct Current Control for Power Converters
title_sort fpga-based cost-effective and resource optimized solution of predictive direct current control for power converters
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/73f2fa2863f84022960ea46cb991d1cb
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AT babuchembathuayyappan fpgabasedcosteffectiveandresourceoptimizedsolutionofpredictivedirectcurrentcontrolforpowerconverters
AT mathewkallarackal fpgabasedcosteffectiveandresourceoptimizedsolutionofpredictivedirectcurrentcontrolforpowerconverters
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