DocumentCode
2668769
Title
A novel adaptive energy-efficient controller for the HVAC systems
Author
Hongli, Lv ; Peiyong, Duan ; Qingmei, Yao ; Hui, Li ; Xiuwen, Yang
Author_Institution
Sch. of Inf. & Electr. Eng., Shandong Jianzhu Univ., Ji´´nan, China
fYear
2012
fDate
23-25 May 2012
Firstpage
1402
Lastpage
1406
Abstract
In order to improve energy efficiency of the Heating, Ventilating, and Air-Conditioning (HVAC) systems, we study the multi-variable nonlinear adaptive control algorithms of temperature and humidity to achieve energy-saving optimal control in HVAC systems. Firstly the global energy management multi-variable nonlinear system model is established. The system internal dynamics relation between temperature and humidity is analyzed. Then the nonlinear adaptive backstepping control algorithms are analyzed and designed, and then the adaptive robust controller is built. So the Lyapunov stability of the closed-loop system is realized. The temperature and humidity in HVAC systems are optimized to control. The system satisfies the maximum comfort while saves energy. Finally the simulation results verify the effectiveness and feasibility of the designed control strategy.
Keywords
HVAC; Lyapunov methods; adaptive control; closed loop systems; control system synthesis; humidity control; multivariable control systems; nonlinear control systems; robust control; temperature control; HVAC systems; Lyapunov stability; adaptive energy-efficient controller; adaptive robust controller; closed-loop system; energy-saving optimal control; global energy management multivariable nonlinear system model; heating-ventilating-and-air-conditioning systems; humidity control; multivariable nonlinear adaptive control algorithms; nonlinear adaptive backstepping control algorithms; system internal dynamics; temperature control; Adaptive systems; Atmospheric modeling; Cooling; Humidity; Mathematical model; Adaptive control; Energy-efficient control; Lyapunov stability; the HVAC systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244225
Filename
6244225
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