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Finite Time Disturbance Observer Based on Air Conditioning System Control Scheme

Author

Listed:
  • Kamal Rsetam

    (Department of Automated Manufacturing, Al Khwarizmi College of Engineering, University of Baghdad, Baghdad 10071, Iraq)

  • Mohammad Al-Rawi

    (Centre for Engineering and Industrial Design, Te Pūkenga—Waikato Institute of Technology, Hamilton 3240, New Zealand
    Chemical and Materials Engineering, Faculty of Engineering, The University of Auckland, Auckland 1010, New Zealand)

  • Ahmed M. Al-Jumaily

    (Institute of Biomedical Technologies (IBTec), Auckland University of Technology (AUT), Auckland 1010, New Zealand)

  • Zhenwei Cao

    (Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, VIC 3122, Australia)

Abstract

A novel robust finite time disturbance observer (RFTDO) based on an independent output-finite time composite control (FTCC) scheme is proposed for an air conditioning-system temperature and humidity regulation. The variable air volume (VAV) of the system is represented by two first-order mathematical models for the temperature and humidity dynamics. In the temperature loop dynamics, a RFTDO temperature (RFTDO-T) and an FTCC temperature (FTCC-T) are designed to estimate and reject the lumped disturbances of the temperature subsystem. In the humidity loop, a robust output of the FTCC humidity (FTCC-H) and RFTDO humidity (RFTDO-H) are also designed to estimate and reject the lumped disturbances of the humidity subsystem. Based on Lyapunov theory, the stability proof of the two closed-loop controllers and observers is presented. Comparative simulations are carried out to confirm that the proposed controller outperforms conventional methods and offers greater accuracy of temperature, humidity, and carbon dioxide concentration, having superior regulation performance in terms of a rapid finite time convergence, an outstanding disturbance rejection property, and better energy consumption. In addition to presenting the comparative simulation results from the control applications on the VAV system, the quantitative values are provided to further confirm the superiority of the proposed controller. In particular, the proposed method exhibits the shortest settling time of, respectively, 15 and 40 min to reach the expected temperature and humidity, whereas other comparative controllers require a longer time to settle down.

Suggested Citation

  • Kamal Rsetam & Mohammad Al-Rawi & Ahmed M. Al-Jumaily & Zhenwei Cao, 2023. "Finite Time Disturbance Observer Based on Air Conditioning System Control Scheme," Energies, MDPI, vol. 16(14), pages 1-28, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5337-:d:1192603
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    References listed on IDEAS

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    1. Huang, Yanjun & Khajepour, Amir & Ding, Haitao & Bagheri, Farshid & Bahrami, Majid, 2017. "An energy-saving set-point optimizer with a sliding mode controller for automotive air-conditioning/refrigeration systems," Applied Energy, Elsevier, vol. 188(C), pages 576-585.
    2. Awais Shah & Deqing Huang & Yixing Chen & Xin Kang & Na Qin, 2017. "Robust Sliding Mode Control of Air Handling Unit for Energy Efficiency Enhancement," Energies, MDPI, vol. 10(11), pages 1-21, November.
    3. Lijian Yang & Ziyang Li & Zhengtian Wu & Mingyang Xie & Baoping Jiang & Baochuan Fu, 2020. "Independent Control of Temperature and Humidity in Air Conditioners by Using Fuzzy Sliding Mode Approach," Complexity, Hindawi, vol. 2020, pages 1-12, August.
    4. Shahnawaz Ahmed, S. & Shah Majid, Md. & Novia, Hendri & Abd Rahman, Hasimah, 2007. "Fuzzy logic based energy saving technique for a central air conditioning system," Energy, Elsevier, vol. 32(7), pages 1222-1234.
    5. Gao, Yuan & Miyata, Shohei & Akashi, Yasunori, 2023. "Energy saving and indoor temperature control for an office building using tube-based robust model predictive control," Applied Energy, Elsevier, vol. 341(C).
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    Cited by:

    1. Li Yang, 2024. "Advanced Technologies in HVAC Equipment and Thermal Environment for Building," Energies, MDPI, vol. 17(21), pages 1-2, November.
    2. Jinfeng Shi & Haoyang Liu & Xiaowei Yang, 2024. "Precision Control for Room Temperature of Variable Air Volume Air-Conditioning Systems with Large Input Delay," Energies, MDPI, vol. 17(17), pages 1-16, August.

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