Genetic Algorithm-Optimized Diode-Based Temperature Control Actuation System
The temperature control of silicon diodes as actuators was studied from both theoretical and experimental perspectives. Genetic algorithms were employed to optimize diode distributions for effective temperature regulation. Temperature fluctuations can significantly affect the performance of high-pre...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10937057/ |
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| author | Yajie Huang Donglai Zhang Xueli Zhu Anshou Li Yi Wang |
| author_facet | Yajie Huang Donglai Zhang Xueli Zhu Anshou Li Yi Wang |
| author_sort | Yajie Huang |
| collection | DOAJ |
| description | The temperature control of silicon diodes as actuators was studied from both theoretical and experimental perspectives. Genetic algorithms were employed to optimize diode distributions for effective temperature regulation. Temperature fluctuations can significantly affect the performance of high-precision electronic equipment, necessitating robust temperature control methods. By integrating series diodes into the temperature control system alongside the traditional proportional-integral-differential (PID) control mode, precise regulation of high-precision component temperatures in power supplies was achieved. The diodes’ minimal voltage variation ensures linear power and current characteristics, enabling effective temperature rise control through current adjustments and mitigating temperature overshoot issues. Diodes also offer advantages such as ease of installation and high safety margins against open circuits. Simulation-validated optimization of diode positions using genetic algorithms demonstrated their effectiveness in achieving optimal configurations through selection, crossover, and mutation operations. This approach not only reduces the number of diodes but also meets diverse temperature control requirements, enhancing system responsiveness and power output stability. The study underscores the potential of diodes as temperature control actuators, particularly in regulating high-precision power components in power supplies. |
| format | Article |
| id | doaj-art-99288a18ea324d548f877dda3350ce1b |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-99288a18ea324d548f877dda3350ce1b2025-08-20T03:42:18ZengIEEEIEEE Access2169-35362025-01-0113528895290010.1109/ACCESS.2025.355347610937057Genetic Algorithm-Optimized Diode-Based Temperature Control Actuation SystemYajie Huang0Donglai Zhang1https://orcid.org/0000-0002-5816-4273Xueli Zhu2https://orcid.org/0000-0002-7624-5165Anshou Li3https://orcid.org/0000-0001-7879-3213Yi Wang4https://orcid.org/0000-0002-4868-7636Power Electronics Drive Research Center, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaPower Electronics Drive Research Center, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaPower Electronics Drive Research Center, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaDepartment of Strategic and Advanced Interdisciplinary Research, Peng Cheng Laboratory, Shenzhen, ChinaPower Electronics Drive Research Center, Harbin Institute of Technology (Shenzhen), Shenzhen, ChinaThe temperature control of silicon diodes as actuators was studied from both theoretical and experimental perspectives. Genetic algorithms were employed to optimize diode distributions for effective temperature regulation. Temperature fluctuations can significantly affect the performance of high-precision electronic equipment, necessitating robust temperature control methods. By integrating series diodes into the temperature control system alongside the traditional proportional-integral-differential (PID) control mode, precise regulation of high-precision component temperatures in power supplies was achieved. The diodes’ minimal voltage variation ensures linear power and current characteristics, enabling effective temperature rise control through current adjustments and mitigating temperature overshoot issues. Diodes also offer advantages such as ease of installation and high safety margins against open circuits. Simulation-validated optimization of diode positions using genetic algorithms demonstrated their effectiveness in achieving optimal configurations through selection, crossover, and mutation operations. This approach not only reduces the number of diodes but also meets diverse temperature control requirements, enhancing system responsiveness and power output stability. The study underscores the potential of diodes as temperature control actuators, particularly in regulating high-precision power components in power supplies.https://ieeexplore.ieee.org/document/10937057/Diodetemperaturestabilitygenetic algorithm |
| spellingShingle | Yajie Huang Donglai Zhang Xueli Zhu Anshou Li Yi Wang Genetic Algorithm-Optimized Diode-Based Temperature Control Actuation System IEEE Access Diode temperature stability genetic algorithm |
| title | Genetic Algorithm-Optimized Diode-Based Temperature Control Actuation System |
| title_full | Genetic Algorithm-Optimized Diode-Based Temperature Control Actuation System |
| title_fullStr | Genetic Algorithm-Optimized Diode-Based Temperature Control Actuation System |
| title_full_unstemmed | Genetic Algorithm-Optimized Diode-Based Temperature Control Actuation System |
| title_short | Genetic Algorithm-Optimized Diode-Based Temperature Control Actuation System |
| title_sort | genetic algorithm optimized diode based temperature control actuation system |
| topic | Diode temperature stability genetic algorithm |
| url | https://ieeexplore.ieee.org/document/10937057/ |
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