skip to main content
10.1145/3641584.3641748acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaiprConference Proceedingsconference-collections
research-article

PID temperature control algorithm based on GNSS-R antenna

Published: 14 June 2024 Publication History

Abstract

With the continuous development of GNSS-R technology, its application scope is also expanding. At present, quite fruitful results have been achieved in moving target detection, remote sensing of Marine and land surface parameters. Power monitoring is very important for GNSS-R, and the temperature change of receiver antenna is an important reason affecting its power. Aiming at the problem that the antenna temperature of the receiver cannot be accurately controlled, this paper proposes a fuzzy neural network PID control algorithm through research, and compares the algorithm with the conventional PID algorithm by simulation. The results show that the step response curve of the system under the control of this algorithm can quickly reach the steady state value. And the system test, can be the constant temperature system temperature control within ±0.2°C, to meet the high precision temperature control requirements, and the output noise power is stable.

References

[1]
Thoelert S, Hauschild A, Steigenberger P, Langley RB and Antreich F. 2018. GPS IIR-M L1 transmit power redistribution: Analysis of GNSS receiver and high-gain antenna data. Navigation, 65(3), 423-430.
[2]
Schildknecht T and Springer T. 1998. High Precision Time and Frequency Transfer Using GPS Phase Measurements. 30th Annual Precise Time and Time Interval (PTTI) Meeting.
[3]
Qiushan Zhao, Kai Wang, Wei Xu, Taifeng Zhang and Wei Zhang. 2017. Design of power controller based on TDMA load of communication satellite.Power supply technology, 41(7):1057-1059.
[4]
Jia Liu, Yunze Liu, Dongxiao Liu and Jun Wang. 2010. Dynamic characteristics and autonomous control strategy of satellite mems thermal control system. Acta Aeronautica et Astronautica Sinica, 4:(8).
[5]
Gang Liu, Zhengju Li, Xi Zhu and Xiangyang Li. 2019. Closed-loop temperature control method for thermal vacuum test of high-power communication satellite. Spacecraft Environmental Engineering, 36 (4), 5.
[6]
Renxin Wan, Xiaochao Yang, Zhihong Li,Xiaoming Wang and Hui Gao. 2022. Research on product temperature control method in thermal vacuum test and its effect verification.Spacecraft Environmental Engineering, 39 (03): 274-278.
[7]
Jian Li, Junxia Duan and Xiaoyang He. 2007. Neuron-fuzzy self-tuning PID control based on optimal prediction,Control Engineering, 14 (6): 586-588
[8]
Xuanju Dang and Huimin Peng. 2019. Fuzzy differential advance single neuron PID control of SRM Computer Simulation, 36 (2): 342-347.
[9]
Hubo Shi, Gang Chen, Lijie Ding, Xiaoyan Han, Yudong Zhang and Zhen Chen. 2019. Optimization of pid parameters of hydraulic turbine governor considering primary frequency regulation performance and ultra-low frequency oscillation suppression. Power Grid Technology, 43 (1), 6
[10]
Hongbiao Zhou, Yu Zhang, Xiaoying Bai, Baolian Liu and Huanyu Zhao. 2020. Nonlinear system model predictive control based on adaptive fuzzy neural network. Journal of Chemical Engineering, 71 (7): 3201-3212
[11]
Fengwen Liu, Chunfeng Zhang and Xiaohui Bi. 2008. Application of DMC-PID algorithm in large time delay system. Electric drive, (12): 50-52
[12]
Chunxia Dong. 2004. Application of Neural Network Fuzzy PID Control in Temperature Control of Heating Furnace. Tianjin: Hebei University of Technology.
[13]
Jianyong Zhang and Dongli Liu. 2006. Simulation Research of Fuzzy PID Algorithm Based on Neural Network in Greenhouse Temperature Control [J]. Chinese Agricultural Mechanization, (6): 67-70.
[14]
Yin He, Hu Wang and Dehua Chen. 2020. The application of fuzzy PID control in the process temperature and humidity control of cigarette factory [C]. 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), Chongqing, China, pp. 1091-1096.
[15]
Yuhe Duan, Haoyue Ji and Xiaodong Sun. 2022, Design of temperature control system for burn-in test based on fuzzy adaptive PID control algorithm. 2022 23rd International Conference on Electronic Packaging Technology (ICEPT), Dalian, China, pp. 1-6.
[16]
Jianpeng Wang, Zhongliang Lu and Gaojie Wang. 2022. Design and Application of Temperature Control System Based on Fuzzy PID Algorithm. 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP), Xi'an, China, pp. 156-161.
[17]
Junhui Wu, Jun Liu and Yusheng Wu. 2020. Research on Electric Heating Cut Tobacco Dryer Based on Fuzzy PID Control Algorithm. 2020 Chinese Automation Congress (CAC), Shanghai, China, pp. 3884-3888.
[18]
Xianggang Li and Bing Xu. 2022. Study on Reactor Temperature Control of Fuzzy Feedforward Combined with PID. 2022 International Conference on Information Technology, Communication Ecosystem and Management (ITCEM), Bangkok, Thailand, pp. 5-9.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
AIPR '23: Proceedings of the 2023 6th International Conference on Artificial Intelligence and Pattern Recognition
September 2023
1540 pages
ISBN:9798400707674
DOI:10.1145/3641584
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2024

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Antenna
  2. Fuzzy neural network
  3. PID control
  4. Temperature control

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

AIPR 2023

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 12
    Total Downloads
  • Downloads (Last 12 months)12
  • Downloads (Last 6 weeks)2
Reflects downloads up to 23 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media