Title :
The tunnel ventilation control based on iterative learning scheme
Author :
QianXiang, Mu ; Xuan, Zheng
Author_Institution :
Road Adm. Bur. of Shanxi Province, Xi´´an, China
Abstract :
In this paper, the iterative learning control (ILC) is applied to tunnel ventilation system. This technique uses the operation information in tunnel ventilation system and enables the tracking performance better from operation to operation without any model information. It also can suppress the effect of repetitive external disturbance. The iterative learning controller of tunnel ventilation system is provided and the convergence analysis is also given. Simulation result has been shown the effective of the proposed scheme.
Keywords :
adaptive control; control system analysis; iterative methods; learning systems; tunnels; ventilation; convergence analysis; iterative learning control; repetitive external disturbance; tunnel ventilation control; tunnel ventilation system; Air pollution; Learning; Mathematical model; Roads; Robustness; Simulation; Ventilation; iterative learning control; model-free control; tunnel ventilation;
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
DOI :
10.1109/IITA-GRS.2010.5603999
