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Proposal of Takagi–Sugeno Fuzzy-PI Controller Hardware
This work proposes dedicated hardware for an intelligent control system on Field Programmable Gate Array (FPGA). The intelligent system is represented as Takagi–Sugeno Fuzzy-PI controller. The implementation uses a fully parallel strategy associated with a hybrid bit format scheme (fixed-point and f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180753/ https://www.ncbi.nlm.nih.gov/pubmed/32252481 http://dx.doi.org/10.3390/s20071996 |
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author | Silva, Sérgio N. Lopes, Felipe F. Valderrama, Carlos Fernandes, Marcelo A. C. |
author_facet | Silva, Sérgio N. Lopes, Felipe F. Valderrama, Carlos Fernandes, Marcelo A. C. |
author_sort | Silva, Sérgio N. |
collection | PubMed |
description | This work proposes dedicated hardware for an intelligent control system on Field Programmable Gate Array (FPGA). The intelligent system is represented as Takagi–Sugeno Fuzzy-PI controller. The implementation uses a fully parallel strategy associated with a hybrid bit format scheme (fixed-point and floating-point). Two hardware designs are proposed; the first one uses a single clock cycle processing architecture, and the other uses a pipeline scheme. The bit accuracy was tested by simulation with a nonlinear control system of a robotic manipulator. The area, throughput, and dynamic power consumption of the implemented hardware are used to validate and compare the results of this proposal. The results achieved allow the use of the proposed hardware in applications with high-throughput, low-power and ultra-low-latency requirements such as teleoperation of robot manipulators, tactile internet, or industry 4.0 automation, among others. |
format | Online Article Text |
id | pubmed-7180753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71807532020-05-01 Proposal of Takagi–Sugeno Fuzzy-PI Controller Hardware Silva, Sérgio N. Lopes, Felipe F. Valderrama, Carlos Fernandes, Marcelo A. C. Sensors (Basel) Article This work proposes dedicated hardware for an intelligent control system on Field Programmable Gate Array (FPGA). The intelligent system is represented as Takagi–Sugeno Fuzzy-PI controller. The implementation uses a fully parallel strategy associated with a hybrid bit format scheme (fixed-point and floating-point). Two hardware designs are proposed; the first one uses a single clock cycle processing architecture, and the other uses a pipeline scheme. The bit accuracy was tested by simulation with a nonlinear control system of a robotic manipulator. The area, throughput, and dynamic power consumption of the implemented hardware are used to validate and compare the results of this proposal. The results achieved allow the use of the proposed hardware in applications with high-throughput, low-power and ultra-low-latency requirements such as teleoperation of robot manipulators, tactile internet, or industry 4.0 automation, among others. MDPI 2020-04-02 /pmc/articles/PMC7180753/ /pubmed/32252481 http://dx.doi.org/10.3390/s20071996 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Silva, Sérgio N. Lopes, Felipe F. Valderrama, Carlos Fernandes, Marcelo A. C. Proposal of Takagi–Sugeno Fuzzy-PI Controller Hardware |
title | Proposal of Takagi–Sugeno Fuzzy-PI Controller Hardware |
title_full | Proposal of Takagi–Sugeno Fuzzy-PI Controller Hardware |
title_fullStr | Proposal of Takagi–Sugeno Fuzzy-PI Controller Hardware |
title_full_unstemmed | Proposal of Takagi–Sugeno Fuzzy-PI Controller Hardware |
title_short | Proposal of Takagi–Sugeno Fuzzy-PI Controller Hardware |
title_sort | proposal of takagi–sugeno fuzzy-pi controller hardware |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180753/ https://www.ncbi.nlm.nih.gov/pubmed/32252481 http://dx.doi.org/10.3390/s20071996 |
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