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用于电荷管理的高精度驱动控制系统设计

Design of High-Precision Driving Control System for Charge Management.

作者信息

Wang Yang, Lv Boyan, Yu Tao, Wang Longqi, Wang Zhi

机构信息

College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China.

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

出版信息

Sensors (Basel). 2024 Apr 30;24(9):2883. doi: 10.3390/s24092883.

DOI:10.3390/s24092883
PMID:38732989
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11086223/
Abstract

Due to the interaction of accumulated charges on the surface of a test mass with the surrounding electric and magnetic fields, the performance of inertial sensors is affected, necessitating charge management for the test mass. Discharge technology based on Ultraviolet LEDs is internationally recognized as the optimal solution for charge management. Precision driving of Ultraviolet LEDs is considered a key technology in charge management. This paper presents the driving control system used for Ultraviolet LEDs, achieving precision pulse-width-modulation-type current output with controllable pulse width and amplitude. The system generates the pulse-width-controllable pulse voltage signal via analog pulse-width modulation, and subsequently regulates the amplitude of the PWM signal through range switching. To convert the voltage into the pulse-width-modulation-type driving current, the improved Howland current source is employed. The test results demonstrate that the driving control system can output controllable current in the range of 0.01 mA to 10 mA, with a minimum step of 0.01 mA. The accuracy of the current reaches 1%, the stability within 1 h is better than 1%, and the load regulation is better than 2%. The driving control system provides an important reference for the integration of charge management system and the precision drive control method for LEDs.

摘要

由于测试质量块表面累积电荷与周围电场和磁场的相互作用，惯性传感器的性能会受到影响，因此需要对测试质量块进行电荷管理。基于紫外发光二极管的放电技术在国际上被公认为电荷管理的最佳解决方案。紫外发光二极管的精确驱动被视为电荷管理中的一项关键技术。本文介绍了用于紫外发光二极管的驱动控制系统，实现了具有可控脉冲宽度和幅度的精确脉宽调制型电流输出。该系统通过模拟脉宽调制生成脉宽可控的脉冲电压信号，随后通过量程切换调节脉宽调制信号的幅度。为了将电压转换为脉宽调制型驱动电流，采用了改进的霍兰德电流源。测试结果表明，该驱动控制系统能够输出0.01 mA至10 mA范围内的可控电流，最小步长为0.01 mA。电流精度达到1%，1小时内的稳定性优于1%，负载调整率优于2%。该驱动控制系统为电荷管理系统的集成以及发光二极管的精确驱动控制方法提供了重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/fcb7e8a78560/sensors-24-02883-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/3522457418c5/sensors-24-02883-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/d7be3173249d/sensors-24-02883-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/e84a5f0d9476/sensors-24-02883-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/640b3148ef0a/sensors-24-02883-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/676104acb890/sensors-24-02883-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/21c492e388d6/sensors-24-02883-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/e8d1581d16dc/sensors-24-02883-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/2404dc2f44d8/sensors-24-02883-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/82538c6d9ea0/sensors-24-02883-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/15197a4363a6/sensors-24-02883-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/fcb7e8a78560/sensors-24-02883-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/3522457418c5/sensors-24-02883-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/d7be3173249d/sensors-24-02883-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/e84a5f0d9476/sensors-24-02883-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/640b3148ef0a/sensors-24-02883-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/676104acb890/sensors-24-02883-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/21c492e388d6/sensors-24-02883-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/e8d1581d16dc/sensors-24-02883-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/2404dc2f44d8/sensors-24-02883-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/82538c6d9ea0/sensors-24-02883-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/15197a4363a6/sensors-24-02883-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79a/11086223/fcb7e8a78560/sensors-24-02883-g011.jpg

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本文引用的文献

1
High-Precision Inertial Sensor Charge Management Based on Ultraviolet Discharge: A Comprehensive Review.基于紫外线放电的高精度惯性传感器电荷管理：综述
Sensors (Basel). 2023 Sep 11;23(18):7794. doi: 10.3390/s23187794.
2
Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management.用于电荷管理中 UV LEDs 的光电热模型与模糊自适应 PID 控制
Sensors (Basel). 2023 Jun 27;23(13):5946. doi: 10.3390/s23135946.
3
High volume UV LED performance testing.高容量 UV LED 性能测试。
Rev Sci Instrum. 2022 Nov 1;93(11):114503. doi: 10.1063/5.0107372.
4
Advances in application of ultraviolet irradiation for biofilm control in water and wastewater infrastructure.紫外线照射在水和废水基础设施中生物膜控制的应用进展。
J Hazard Mater. 2022 Jan 5;421:126682. doi: 10.1016/j.jhazmat.2021.126682. Epub 2021 Jul 17.