Central Heating System Constrained Control with Input Delay Based on Neural Networks
Joint Authors
Wang, Hongwei
Tu, Fangwen
Feng, Guohui
Ao, Xin
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Hongwei& Tu, Fangwen& Feng, Guohui& Ao, Xin. 2018. Central Heating System Constrained Control with Input Delay Based on Neural Networks. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1205776
Modern Language Association (MLA)
Wang, Hongwei…[et al.]. Central Heating System Constrained Control with Input Delay Based on Neural Networks. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1205776
American Medical Association (AMA)
Wang, Hongwei& Tu, Fangwen& Feng, Guohui& Ao, Xin. Central Heating System Constrained Control with Input Delay Based on Neural Networks. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1205776
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205776