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contributor authorZheng, Ruixiang
contributor authorLi, Mian
contributor authorWang, Zhaoguang
contributor authorZhang, Qiang
date accessioned2017-11-25T07:16:24Z
date available2017-11-25T07:16:24Z
date copyright2017/8/2
date issued2017
identifier issn0098-2202
identifier otherfe_139_04_041401.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4233991
description abstractA blow-down wind tunnel is a typical nonlinear time-varying system facing the coupling effects between the pressure and temperature during the short-time test procedure. The control of blow-down wind tunnels has been discussed for a long time and a satisfactory general solution to this problem is still of interests. This paper aims to model the internal relationship of the state variables of the wind tunnel by using thermodynamic theories. With the developed model, a new control method combining extended Kalman filter (EKF) together with auxiliary nonlinear predictive filter (NPF) is proposed to improve the control performance of the blow-down wind tunnel controller, in terms of accuracy and robustness. The transient coupling effects between the pressure and temperature are fully considered in the proposed approach. The results from the simulation and experiments are consistent and demonstrate that the controller based on EKF combined together with NPF can work better than previously proposed EKF-based controller.
publisherThe American Society of Mechanical Engineers (ASME)
titleControl of Blow-Down Wind Tunnel Using Combined Extended Kalman and Nonlinear Predictive Filters
typeJournal Paper
journal volume139
journal issue4
journal titleJournal of Fluids Engineering
identifier doi10.1115/1.4035243
journal fristpage41401
journal lastpage041401-9
treeJournal of Fluids Engineering:;2017:;volume( 139 ):;issue: 004
contenttypeFulltext


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