ORIGINAL RESEARCH
Identification and Control Method of Temperature
and Pressure Control System in Methane Isotope
Measurement System
1
School of Electronic and Electrical Engineering, Bengbu University, Bengbu 233030, China
2
Anhui Provincial Key Laboratory of Photonic Devices and Material, Anhui Institute of Optics and Fine Mechanics,
Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei 230031, China
3
University of Science and Technology of China, Hefei 230026, China
4
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics,
Chinese Academy of Sciences, Hefei 230031, China
5
Advanced Laserer Tenonology Laboratory of Anhui Province, Hefei 230037, China
Submission date: 2022-04-12
Final revision date: 2022-06-19
Acceptance date: 2022-06-21
Online publication date: 2022-09-12
Publication date: 2022-11-03
Corresponding author
Zhang Zhirong
Anhui Provincial Key Laboratory of Photonic Devices and Materia, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Science, China
Anhui Provincial Key Laboratory of Photonic Devices and Materia, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Science, China
Pol. J. Environ. Stud. 2022;31(6):5343-5352
KEYWORDS
gas monitoring technologylaser absorption spectrometric measurementtemperature and pressure controlsystem identificationFuzzy Adaptive PID
TOPICS
ABSTRACT
At present, gas monitoring technology based on optical principle has been widely used in atmospheric
environment, industrial emissions, smart city and other monitoring fields. For the requirement of high
precision and high stability control of temperature and pressure of laser absorption spectroscopy
measuring instrument, the temperature and pressure control scheme of the system is studied.
The temperature and pressure control system is identified and the simulation model is established.
The consistency of temperature and pressure models is 99.35% and 95.55% by using Process Models
module to debug continuously. The simulation compares the output response curves of different control
methods with the same step signal input, and the Fuzzy Adaptive PID parameter control algorithm
achieves the design requirements in response time, overshoot and other aspects.
| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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