Performance Enhancement of AlInGaN Quantum Well based UV-LED

Das, Samadrita; Lenka, Trupti Ranjan; Talukdar, Fazal A.; Velpula, Ravi Teja; Jain, Barsha; Nguyen, Hieu Pham Trung

doi:10.1109/indicon52576.2021.9691746

Cited by 2 publications

(1 citation statement)

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“…Consequently, UV LEDs have emerged as powerful alternatives to mercury lamps [9]. However, AlGaN-based UV LEDs are still in the exploratory stage with generally low luminous efficiency [28] and require long-term operation at low power in CMSs, making accurate modeling and control crucial for related application system designs.…”

Section: Uv Leds In Charge Managementmentioning

confidence: 99%

Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management

Wang

Zhi

et al. 2023

Sensors

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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.

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Section: Uv Leds In Charge Managementmentioning

confidence: 99%