Research on high precision temperature control system using linear auto disturbance rejection technique

被引：0

作者：

Jiang Y. ^{[1
]}

Piao H. ^{[1
]}

Wang P. ^{[1
]}

Li H. ^{[1
]}

Li Z. ^{[1
]}

Wang B. ^{[2
]}

Bai H. ^{[3
]}

Chen C. ^{[1
]}

机构：

[1] College of Instrumentation and Electrical Engineering, Jilin University, Changchun

[2] Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun

[3] Beijing Smart-Chip Microelectronics Technology Company Limited, Beijing

来源：

Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | 2023年 / 52卷 / 02期

关键词：

finite element analysis; infrared gas detection; linear auto disturbance rejection algorithm; semiconductor cooler; temperature control;

D O I：

10.3788/IRLA20210813

中图分类号：

学科分类号：

摘要：

With the development of photoelectric measurement technology, infrared gas detection technology is widely used in many fields. Temperature has an important influence on the detection of gas concentration and isotopic abundance. The traditional temperature control system using proportional integral differential (PID) control algorithm has the disadvantages of overshoot, slow response time and low precision. Firstly, COMSOL software is used to determine the heating structure by finite element analysis. Secondly, the STM32 single chip microcomputer is used to collect real-time temperature data through 16 bit AD chip LTC1864. Finally, the linear auto disturbance rejection algorithm (LADRC) is used to adjust the PWM wave that achieve the high-precision and real-time dynamic adjustment of the system temperature by controlling the semiconductor cooler (TEC). Under the temperature of 19.8 ℃ condition, an temperature control experiments with a target temperature of 32 ℃ is carried out. The results show that the standard deviation of temperature fluctuation is 0.0357 ℃. Compared with the temperature control system using PID algorithm, it has the advantages of no overshoot, fast response time and high precision. © 2023 Chinese Society of Astronautics. All rights reserved.

引用

共 13 条

[1] Ren Q, Wang Y, Chen C., A prototype of high-precision carbon isotopic ratio sensing system for CO<sub>2</sub> dissolved in water, IEEE Transactions on Instrumentation and Measurement, 69, 12, pp. 9813-9821, (2020)
[2] Ren Q, Chen C, Wang Y., A prototype of pppbv-level mid-infrared CO<sub>2</sub> sensor for potential application in deep-sea natural-gas-hydrate exploration, IEEE Transactions on Instrumentation and Measurement, 69, 9, pp. 7200-7208, (2020)
[3] Bao M., Laser temperature control system based on fuzzy theory and neural network [J], Laser Journal, 38, 10, pp. 123-126, (2017)
[4] Tiwari Dharmendra, Pachauri Nikhil, Rani Asha, Et al., Fractional order PID (FOPID) controller based temperature control of bioreactor, 2016 International Conference on Electrical, Electronic and Optimization Technology, ICEEOT, pp. 2968-2973, (2016)
[5] Jia J W, Li W, Chai H, Et al., Gas detection technology algorithm based on TDLAS, Infrared and Laser Engineering, 48, 5, (2019)
[6] Chen C, Ren Q, Piao H., A trace carbon monoxide sensor based on differential absorption spectroscopy using mid-infrared quantum cascade laser, Micromachines, 9, 12, (2018)
[7] Hou Y, Huang K J., Development on temperature and pressure control system for multi-pass gas cell utilized in infrared gas detection, Infrared and Laser Engineering, 49, 10, (2020)
[8] Han J Q., From PID to active disturbance rejection control, IEEE Transactions on Industrial Electronics, 56, 3, pp. 900-906, (2009)
[9] Gao Z., Active disturbance rejection control: A paradigm shift in feedback control system design, 2006 American Control Conference, (2006)
[10] Wen Kang, Li Hezhang, Ma Zhuang, Et al., Effects of spot size on the temperature response of an aluminum alloy irradiated by a continuous laser, Chinese Optics, 13, 5, pp. 1023-1031, (2020)

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