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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January 2015
Technical Briefs
Advanced Flow Control for Supersonic Blowdown Wind Tunnel Using Extended Kalman Filter
Jiaqi Xi,
Jiaqi Xi
University of Michigan—Shanghai Jiao Tong University
Joint Institute,
Joint Institute,
Shanghai Jiao Tong University
,Shanghai 200240
, China
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Mian Li,
Mian Li
1
University of Michigan—Shanghai Jiao Tong University
Joint Institute,
e-mail: mianli@sjtu.edu.cn
Joint Institute,
Shanghai Jiao Tong University
,Shanghai 200240
, China
e-mail: mianli@sjtu.edu.cn
1Corresponding author.
Search for other works by this author on:
Qiang Zhang,
Qiang Zhang
University of Michigan—Shanghai Jiao Tong University
Joint Institute,
Joint Institute,
Shanghai Jiao Tong University
,Shanghai 200240
, China
Department of Mechanical Engineering and Aeronautics
School of Engineering and Mathematical Sciences,
School of Engineering and Mathematical Sciences,
City University London
,Northampton Square EC1V 0HB
, London
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Zhaoguang Wang
Zhaoguang Wang
University of Michigan—Shanghai Jiao Tong University
Joint Institute,
Joint Institute,
Shanghai Jiao Tong University
,Shanghai 200240
, China
Search for other works by this author on:
Jiaqi Xi
University of Michigan—Shanghai Jiao Tong University
Joint Institute,
Joint Institute,
Shanghai Jiao Tong University
,Shanghai 200240
, China
Mian Li
University of Michigan—Shanghai Jiao Tong University
Joint Institute,
e-mail: mianli@sjtu.edu.cn
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,
Joint Institute,
Shanghai Jiao Tong University
,Shanghai 200240
, China
Department of Mechanical Engineering and Aeronautics
School of Engineering and Mathematical Sciences,
School of Engineering and Mathematical Sciences,
City University London
,Northampton Square EC1V 0HB
, London
Zhaoguang Wang
University of Michigan—Shanghai Jiao Tong University
Joint Institute,
Joint Institute,
Shanghai Jiao Tong University
,Shanghai 200240
, China
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. Jan 2015, 137(1): 014501 (6 pages)
Published Online: August 28, 2014
Article history
Received:
November 30, 2012
Revision Received:
July 27, 2014
Citation
Xi, J., Li, M., Zhang, Q., and Wang, Z. (August 28, 2014). "Advanced Flow Control for Supersonic Blowdown Wind Tunnel Using Extended Kalman Filter." ASME. J. Dyn. Sys., Meas., Control. January 2015; 137(1): 014501. https://doi.org/10.1115/1.4028182
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