Real-Time Algebraic Derivative Estimations Using a Novel Low-Cost Architecture Based on Reconfigurable Logic
Time derivative estimation of signals plays a very important role in several fields, such as signal processing and control engineering, just to name a few of them. For that purpose, a non-asymptotic algebraic procedure for the approximate estimation of the system states is used in this work. The met...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/5/9349 |
| _version_ | 1798026905312559104 |
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| author | Rafael Morales Fernando Rincón Julio Dondo Gazzano Juan Carlos López |
| author_facet | Rafael Morales Fernando Rincón Julio Dondo Gazzano Juan Carlos López |
| author_sort | Rafael Morales |
| collection | DOAJ |
| description | Time derivative estimation of signals plays a very important role in several fields, such as signal processing and control engineering, just to name a few of them. For that purpose, a non-asymptotic algebraic procedure for the approximate estimation of the system states is used in this work. The method is based on results from differential algebra and furnishes some general formulae for the time derivatives of a measurable signal in which two algebraic derivative estimators run simultaneously, but in an overlapping fashion. The algebraic derivative algorithm presented in this paper is computed online and in real-time, offering high robustness properties with regard to corrupting noises, versatility and ease of implementation. Besides, in this work, we introduce a novel architecture to accelerate this algebraic derivative estimator using reconfigurable logic. The core of the algorithm is implemented in an FPGA, improving the speed of the system and achieving real-time performance. Finally, this work proposes a low-cost platform for the integration of hardware in the loop in MATLAB. |
| first_indexed | 2024-04-11T18:42:44Z |
| format | Article |
| id | doaj.art-2b7242ee29304ebd84dcbe4092cc02c0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:42:44Z |
| publishDate | 2014-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2b7242ee29304ebd84dcbe4092cc02c02022-12-22T04:08:55ZengMDPI AGSensors1424-82202014-05-011459349936810.3390/s140509349s140509349Real-Time Algebraic Derivative Estimations Using a Novel Low-Cost Architecture Based on Reconfigurable LogicRafael Morales0Fernando Rincón1Julio Dondo Gazzano2Juan Carlos López3Industriales, Universidad de Castilla-La Mancha, 02071 Albacete, SpainInformática, Universidad de Castilla-La Mancha, 130071 Ciudad Real, SpainInformática, Universidad de Castilla-La Mancha, 130071 Ciudad Real, SpainInformática, Universidad de Castilla-La Mancha, 130071 Ciudad Real, SpainTime derivative estimation of signals plays a very important role in several fields, such as signal processing and control engineering, just to name a few of them. For that purpose, a non-asymptotic algebraic procedure for the approximate estimation of the system states is used in this work. The method is based on results from differential algebra and furnishes some general formulae for the time derivatives of a measurable signal in which two algebraic derivative estimators run simultaneously, but in an overlapping fashion. The algebraic derivative algorithm presented in this paper is computed online and in real-time, offering high robustness properties with regard to corrupting noises, versatility and ease of implementation. Besides, in this work, we introduce a novel architecture to accelerate this algebraic derivative estimator using reconfigurable logic. The core of the algorithm is implemented in an FPGA, improving the speed of the system and achieving real-time performance. Finally, this work proposes a low-cost platform for the integration of hardware in the loop in MATLAB.http://www.mdpi.com/1424-8220/14/5/9349time derivative estimationhigh-level synthesis, hardware-in-the-loop |
| spellingShingle | Rafael Morales Fernando Rincón Julio Dondo Gazzano Juan Carlos López Real-Time Algebraic Derivative Estimations Using a Novel Low-Cost Architecture Based on Reconfigurable Logic Sensors time derivative estimation high-level synthesis, hardware-in-the-loop |
| title | Real-Time Algebraic Derivative Estimations Using a Novel Low-Cost Architecture Based on Reconfigurable Logic |
| title_full | Real-Time Algebraic Derivative Estimations Using a Novel Low-Cost Architecture Based on Reconfigurable Logic |
| title_fullStr | Real-Time Algebraic Derivative Estimations Using a Novel Low-Cost Architecture Based on Reconfigurable Logic |
| title_full_unstemmed | Real-Time Algebraic Derivative Estimations Using a Novel Low-Cost Architecture Based on Reconfigurable Logic |
| title_short | Real-Time Algebraic Derivative Estimations Using a Novel Low-Cost Architecture Based on Reconfigurable Logic |
| title_sort | real time algebraic derivative estimations using a novel low cost architecture based on reconfigurable logic |
| topic | time derivative estimation high-level synthesis, hardware-in-the-loop |
| url | http://www.mdpi.com/1424-8220/14/5/9349 |
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