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Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management
Inertial sensors can serve as inertial references for space missions and require charge management systems to maintain their on-orbit performance. To achieve non-contact charge management through UV discharge, effective control strategies are necessary to improve the optical power output performance...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346610/ https://www.ncbi.nlm.nih.gov/pubmed/37447795 http://dx.doi.org/10.3390/s23135946 |
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author | Wang, Yuhua Yu, Tao Wang, Zhi Liu, Yang |
author_facet | Wang, Yuhua Yu, Tao Wang, Zhi Liu, Yang |
author_sort | Wang, Yuhua |
collection | PubMed |
description | Inertial sensors can serve as inertial references for space missions and require charge management systems to maintain their on-orbit performance. To achieve non-contact charge management through UV discharge, effective control strategies are necessary to improve the optical power output performances of UV light sources while accurately modeling their operating characteristics. This paper proposes a low-power photo-electro-thermal model for widely used AlGaN-based UV LEDs, which comprehensively considers the interaction of optical, electrical, and thermal characteristics of UV LEDs during low-power operations. Based on this model, an optical power control system utilizing a fuzzy adaptive PID controller is constructed, in which a switch is introduced to coordinate the working state of the controller. Thus, the steady-state performance is effectively improved while ensuring dynamic performance. The results show that the proposed model has an average prediction error of 5.8 nW during steady-state operations, and the fuzzy adaptive PID controller with a switch can reduce the fluctuation of light output to 0.67 nW during a single discharge task, meeting the charge management requirements of high-precision inertial sensors. |
format | Online Article Text |
id | pubmed-10346610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103466102023-07-15 Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management Wang, Yuhua Yu, Tao Wang, Zhi Liu, Yang Sensors (Basel) Article Inertial sensors can serve as inertial references for space missions and require charge management systems to maintain their on-orbit performance. To achieve non-contact charge management through UV discharge, effective control strategies are necessary to improve the optical power output performances of UV light sources while accurately modeling their operating characteristics. This paper proposes a low-power photo-electro-thermal model for widely used AlGaN-based UV LEDs, which comprehensively considers the interaction of optical, electrical, and thermal characteristics of UV LEDs during low-power operations. Based on this model, an optical power control system utilizing a fuzzy adaptive PID controller is constructed, in which a switch is introduced to coordinate the working state of the controller. Thus, the steady-state performance is effectively improved while ensuring dynamic performance. The results show that the proposed model has an average prediction error of 5.8 nW during steady-state operations, and the fuzzy adaptive PID controller with a switch can reduce the fluctuation of light output to 0.67 nW during a single discharge task, meeting the charge management requirements of high-precision inertial sensors. MDPI 2023-06-27 /pmc/articles/PMC10346610/ /pubmed/37447795 http://dx.doi.org/10.3390/s23135946 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Yuhua Yu, Tao Wang, Zhi Liu, Yang Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management |
title | Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management |
title_full | Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management |
title_fullStr | Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management |
title_full_unstemmed | Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management |
title_short | Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management |
title_sort | photo-electro-thermal model and fuzzy adaptive pid control for uv leds in charge management |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346610/ https://www.ncbi.nlm.nih.gov/pubmed/37447795 http://dx.doi.org/10.3390/s23135946 |
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