Technical Brief

Advanced Flow Control for Supersonic Blowdown Wind Tunnel Using Extended Kalman Filter

[+] Author and Article Information
Jiaqi Xi, Zhaoguang Wang

University of Michigan—Shanghai Jiao Tong University
Joint Institute,
Shanghai Jiao Tong University,
Shanghai 200240, China

Mian Li

University of Michigan—Shanghai Jiao Tong University
Joint Institute,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: mianli@sjtu.edu.cn

Qiang Zhang

University of Michigan—Shanghai Jiao Tong University
Joint Institute,
Shanghai Jiao Tong University,
Shanghai 200240, China
Department of Mechanical Engineering and Aeronautics
School of Engineering and Mathematical Sciences,
City University London,
Northampton Square EC1V 0HB, London

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received November 30, 2012; final manuscript received July 27, 2014; published online August 28, 2014. Assoc. Editor: Luis Alvarez.

J. Dyn. Sys., Meas., Control 137(1), 014501 (Aug 28, 2014) (6 pages) Paper No: DS-12-1393; doi: 10.1115/1.4028182 History: Received November 30, 2012; Revised July 27, 2014

Supersonic blowdown wind tunnels provide controlled test environments for aerodynamic research on scaled models. During the experiments, the stagnation pressure in the test section is required to remain constant. Due to nonlinearity and distributed characteristics of the controlled system, a robust controller with effective flow control algorithms is required for this type of wind tunnels. In this paper, an extended Kalman filter (EKF) based flow control strategy is proposed and implemented. The control strategy is designed based on state estimation of the blowdown process under the EKF structure. One of the distinctive advantages of the proposed approach is its adaptability to a wide range of operating conditions for blowdown wind tunnels. Furthermore, it provides a systematic approach to tune the control parameters to ensure the stability of the controlled air flow. Experiments with different initial conditions and control targets have been conducted to test the applicability and performance of the designed controller. The results demonstrate that the controller and its strategies can effectively control the stagnation pressure in the test section and maintain the target pressure during the stable stage of the blowdown process.

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Grahic Jump Location
Fig. 1

Blowdown wind tunnel in our laboratory

Grahic Jump Location
Fig. 2

Calibration result of the control valve

Grahic Jump Location
Fig. 3

The relationship between the opening angle and the flow coefficient




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