Abstract
The control of indoor temperature has significant importance to maintain excellent thermal comfort and energy saving. At present, indoor temperature is mainly controlled by Air-Handling Unit (AHU), so a proper indoor temperature control strategy plays an important role in temperature regulation. In this paper, we consider the temperature regulation of a room effected by solar radiation, floor temperature and walls temperature. The nonlinear dynamic model of the room is analyzed, and the state space representation is given. Then, by introducing suitable state transformation, a new system is obtained which is convenient for controller design. Subsequently, the controller is designed for the new system using backstepping technique, and the control objective is realized for indoor temperature regulation. Finally, numerical simulations are provided to illustrate the effectiveness of the backstepping controller, and comparisons are also given.
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Acknowledgment
This study is partly supported by the National Natural Science Foundation of China (61903226, 61104069), the Key Research and Development Program of Shandong Province (No. 2021CXGC011205, 2021TSGC1053).
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Shang, F., Ji, Y., Duan, J., Li, C., Peng, W. (2022). Backstepping Control of Air-Handling Unit for Indoor Temperature Regulation. In: Zhang, H., et al. Neural Computing for Advanced Applications. NCAA 2022. Communications in Computer and Information Science, vol 1637. Springer, Singapore. https://doi.org/10.1007/978-981-19-6142-7_17
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DOI: https://doi.org/10.1007/978-981-19-6142-7_17
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