Please use this identifier to cite or link to this item: https://doi.org/10.1155/2018/1714961
Title: Central Heating System Constrained Control with Input Delay Based on Neural Networks
Authors: Wang, H.
Tu, F.
Feng, G.
Ao, X.
Issue Date: 2018
Publisher: Hindawi Limited
Citation: Wang, H., Tu, F., Feng, G., Ao, X. (2018). Central Heating System Constrained Control with Input Delay Based on Neural Networks. Mathematical Problems in Engineering 2018 : 1714961. ScholarBank@NUS Repository. https://doi.org/10.1155/2018/1714961
Rights: Attribution 4.0 International
Abstract: An output constrained control with input delay is proposed for a central heating system. Due to the delay of signal transmission and valves opening time, an input delay is considered into the system and an auxiliary system is employed to handle this issue by converting the delayed input into a delay-free one. Moreover, to ensure the output supply water temperature within a limited range, Barrier Lyapunov algorithm is involved to achieve desired control accuracy. Finally, external disturbance and model uncertainty are incorporated into the dynamic system and neural networks (NN) are trained in an online fashion for the compensation. The stability of the control system is guaranteed through rigorous Lyapunov analysis and the excellent control performance over traditional PID control is demonstrated via numerical simulation study. © 2018 Hongwei Wang et al.
Source Title: Mathematical Problems in Engineering
URI: https://scholarbank.nus.edu.sg/handle/10635/210985
ISSN: 1024123X
DOI: 10.1155/2018/1714961
Rights: Attribution 4.0 International
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