Continuous charge management scheme for TianQin

Pi, Xuanhao; Liu, Qi; Xu, Jiahao; Zhu, Lin; Wang, Qing-Lan; Zhang, Yating; Yang, Shan-Qing; Luo, Jun

doi:10.1088/1361-6382/acafce

Cited by 7 publications

(5 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since UV LEDs are packaged with TO-39, T j is not easy to measure, so E v cannot be obtained directly by Equation (7). As the case temperature T c will be monitored by temperature sensors in CMSs, T j can be replaced by measurable T c .…”

Section: Low-power Pet Model Of Uv Ledsmentioning

confidence: 99%

See 1 more Smart Citation

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

Wang

Zhi

et al. 2023

Sensors

View full text Add to dashboard Cite

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.

show abstract

Section: Low-power Pet Model Of Uv Ledsmentioning

confidence: 99%

“…It uses controllable UV beams to illuminate the surfaces of inertial sensors, exciting photoelectrons and controlling their flow through a local electric field, thereby removing residual charges without contact [6]. The overall effect is equivalent to connecting an invisible wire to maintain an equal potential state [7].…”

Section: Introductionmentioning

confidence: 99%

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

Wang

Zhi

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…However, it’s also sensitive to variations in photoemission parameters and light intensity, so periodic recalibration may be required, but the specific implementation of this method involves calibrating numerous compensation coefficients, which can be quite intricate. To address this issue, Pi X. et al [ 86 ] proposed a convenient calibration method based on linear estimation in 2023, that can greatly improve the efficiency of the compensation coefficient calibration, thereby reducing the difficulty of the adaptive discharge method implementation and making it more feasible. However, in general, the technology still needs to be verified in real orbit.…”

Section: Charge Management Based On Uv Dischargementioning

confidence: 99%

High-Precision Inertial Sensor Charge Management Based on Ultraviolet Discharge: A Comprehensive Review

Yu,

Wang,

Liu

et al. 2023

Sensors

View full text Add to dashboard Cite

The charge accumulation caused by cosmic rays and solar energetic particles poses a significant challenge as a source of noise for inertial sensors used in space gravitational wave detection. To address this issue, the implementation of charge management systems based on ultraviolet discharge becomes crucial. This paper focuses on elucidating the principles and methods of using ultraviolet discharge for charge management in high-precision inertial sensors. Furthermore, it presents the design and implementation of relevant payloads. Through an analysis of the charge accumulation effect and its impact on noise, key considerations regarding coatings, light sources, and optical paths are explored, and some current and valuable insights into the future development of charge management systems are also summarized. The conclusions drawn from this research also provide guidance for the advancement of higher precision ultraviolet discharge technology and the design of charge management systems.

show abstract

“…Researchers have devised a charge management method known as 'power compensation', which is an open-loop control approach that does not rely on the feedback of charge values from the charge measurement stage [38,39]. Currently, more charge management methods involve closed-loop control, and charge measurement is the core function.…”

Section: Introductionmentioning

confidence: 99%

Test mass charge estimation for the space inertial sensor with extended Kalman filter

Gu,

Cheng,

Hong

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

Charge Management System (CMS), aimed at mitigating charge-induced noise on an isolated free-falling test mass (TM), is a crucial component of space inertial sensors in various spaceborne gravitational missions. The estimation of TM charge is one of the tasks of CMS, directly impacting CMS performance. However, current methods for TM charge estimation suffer from slow response and significant estimation errors. This paper presents a new charge estimation method that combines the force modulation principle with an extended Kalman filter (EKF). We analyzed the relationship between the TM surface potential and TM motion, then established a mathematical model. The estimation of TM charge is accomplished through the EKF algorithm. A charge estimation simulation model was developed in Simulink, and experiments were conducted to evaluate the performance of the charge estimation methods under varying charge conditions. The experimental results demonstrate that the EKF method obtains more accurate estimation results and faster convergence rates, compared with Kalman Filter (KF) and Quadrature Demodulation (QD) methods. The KF and QD methods show larger errors when the estimated charge is greater than 106e order, meanwhile the QD method exhibits slower convergence rates. The presented method is expected to be beneficial for the CMS of on-orbit inertial sensors.

show abstract

Continuous charge management scheme for TianQin

Cited by 7 publications

References 23 publications

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

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

High-Precision Inertial Sensor Charge Management Based on Ultraviolet Discharge: A Comprehensive Review

Test mass charge estimation for the space inertial sensor with extended Kalman filter

Contact Info

Product

Resources

About