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Precision Control for Room Temperature of Variable Air Volume Air-Conditioning Systems with Large Input Delay

Author

Listed:
  • Jinfeng Shi

    (China Design Group Co., Ltd., Nanjing 210014, China)

  • Haoyang Liu

    (School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Xiaowei Yang

    (School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)

Abstract

A large input delay, parametric uncertainties, matched disturbances and mismatched disturbances exist extensively in variable air volume air-conditioning systems, which can deteriorate the control performance of the room temperature and even destabilize the system. To address this problem, an adaptive-gain command filter control framework for the room temperature of variable air volume air-conditioning systems is exploited. Through skillfully designing an auxiliary system, both the filtered error and the input delay can be compensated concurrently, which can attenuate the effect of the filtered error and the input delay on the control performance of the room temperature. Then, a smooth nonlinear term with an adjusted gain is introduced into the control framework to compensate for parametric uncertainties, matched disturbances and mismatched disturbances, which relieves the conservatism of the controller gain selection. With the help of the Lyapunov theory, both the boundedness of all the system signals and the asymptotic tracking performance for the room temperature can be assured with the presented controller. Finally, the contrastive simulation results demonstrate the validity of the developed method.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4227-:d:1463053
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    References listed on IDEAS

    as
    1. 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.
    2. Li, Wenqiang & Gong, Guangcai & Ren, Zhongjun & Ouyang, Qianwu & Peng, Pei & Chun, Liang & Fang, Xi, 2022. "A method for energy consumption optimization of air conditioning systems based on load prediction and energy flexibility," Energy, Elsevier, vol. 243(C).
    Full references (including those not matched with items on IDEAS)

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