Digital System Performance Enhancement of a Tent Map-Based ADC for Monitoring Photovoltaic Systems
Efficient photovoltaic installations require control systems that detect small signal variations over large measurement ranges. High measurement accuracy requires data acquisition systems with high-resolution analogue-to-digital converters; however, high resolutions and operational speeds generally...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/9/9/1554 |
| _version_ | 1797552962313125888 |
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| author | Philippa Hazell Peter Mather Andrew Longstaff Simon Fletcher |
| author_facet | Philippa Hazell Peter Mather Andrew Longstaff Simon Fletcher |
| author_sort | Philippa Hazell |
| collection | DOAJ |
| description | Efficient photovoltaic installations require control systems that detect small signal variations over large measurement ranges. High measurement accuracy requires data acquisition systems with high-resolution analogue-to-digital converters; however, high resolutions and operational speeds generally increase costs. Research has proven low-cost prototyping of non-linear chaotic Tent Map-based analogue-to-digital converters (which fold and amplify the input signal, emphasizing small signal variations) is feasible, but inherent non-ideal Tent Map gains reduce the output accuracy and restrict adoption within data acquisition systems. This paper demonstrates a novel compensation algorithm, developed as a digital electronic system, for non-ideal Tent Map gain, enabling high accuracy estimation of the analogue-to-digital converter analogue input signal. Approximation of the gain difference compensation values (reducing digital hardware requirements, enabling efficient real-time compensation), were also investigated via simulation. The algorithm improved the effective resolution of a 16, 20 and 24 Tent Map-stage analogue-to-digital converter model from an average of 5 to 15.5, 19.2, and 23 bits, respectively, over the Tent Map gain range of 1.9 to 1.99. The simulated digital compensation system for a seven Tent Map-stage analogue-to-digital converter enhanced the accuracy from 4 to 7 bits, confirming real-time compensation for non-ideal gain in Tent Map-based analogue-to-digital converters was achievable. |
| first_indexed | 2024-03-10T16:08:36Z |
| format | Article |
| id | doaj.art-4cde89e1139646babc96666cccd19601 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T16:08:36Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-4cde89e1139646babc96666cccd196012023-11-20T14:40:53ZengMDPI AGElectronics2079-92922020-09-0199155410.3390/electronics9091554Digital System Performance Enhancement of a Tent Map-Based ADC for Monitoring Photovoltaic SystemsPhilippa Hazell0Peter Mather1Andrew Longstaff2Simon Fletcher3Department of Engineering & Technology, University of Huddersfield, Huddersfield HD1 3DH, UKDepartment of Engineering & Technology, University of Huddersfield, Huddersfield HD1 3DH, UKDepartment of Engineering & Technology, University of Huddersfield, Huddersfield HD1 3DH, UKDepartment of Engineering & Technology, University of Huddersfield, Huddersfield HD1 3DH, UKEfficient photovoltaic installations require control systems that detect small signal variations over large measurement ranges. High measurement accuracy requires data acquisition systems with high-resolution analogue-to-digital converters; however, high resolutions and operational speeds generally increase costs. Research has proven low-cost prototyping of non-linear chaotic Tent Map-based analogue-to-digital converters (which fold and amplify the input signal, emphasizing small signal variations) is feasible, but inherent non-ideal Tent Map gains reduce the output accuracy and restrict adoption within data acquisition systems. This paper demonstrates a novel compensation algorithm, developed as a digital electronic system, for non-ideal Tent Map gain, enabling high accuracy estimation of the analogue-to-digital converter analogue input signal. Approximation of the gain difference compensation values (reducing digital hardware requirements, enabling efficient real-time compensation), were also investigated via simulation. The algorithm improved the effective resolution of a 16, 20 and 24 Tent Map-stage analogue-to-digital converter model from an average of 5 to 15.5, 19.2, and 23 bits, respectively, over the Tent Map gain range of 1.9 to 1.99. The simulated digital compensation system for a seven Tent Map-stage analogue-to-digital converter enhanced the accuracy from 4 to 7 bits, confirming real-time compensation for non-ideal gain in Tent Map-based analogue-to-digital converters was achievable.https://www.mdpi.com/2079-9292/9/9/1554data acquisitionanalogue-to-digital conversioninitial condition estimationchaotic systemstent mapmonitoring of photovoltaic systems |
| spellingShingle | Philippa Hazell Peter Mather Andrew Longstaff Simon Fletcher Digital System Performance Enhancement of a Tent Map-Based ADC for Monitoring Photovoltaic Systems Electronics data acquisition analogue-to-digital conversion initial condition estimation chaotic systems tent map monitoring of photovoltaic systems |
| title | Digital System Performance Enhancement of a Tent Map-Based ADC for Monitoring Photovoltaic Systems |
| title_full | Digital System Performance Enhancement of a Tent Map-Based ADC for Monitoring Photovoltaic Systems |
| title_fullStr | Digital System Performance Enhancement of a Tent Map-Based ADC for Monitoring Photovoltaic Systems |
| title_full_unstemmed | Digital System Performance Enhancement of a Tent Map-Based ADC for Monitoring Photovoltaic Systems |
| title_short | Digital System Performance Enhancement of a Tent Map-Based ADC for Monitoring Photovoltaic Systems |
| title_sort | digital system performance enhancement of a tent map based adc for monitoring photovoltaic systems |
| topic | data acquisition analogue-to-digital conversion initial condition estimation chaotic systems tent map monitoring of photovoltaic systems |
| url | https://www.mdpi.com/2079-9292/9/9/1554 |
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