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Recursive identification of stagnation pressure in wind tunnel system

Authors: Zhizhong Mao; Ping Yuan; Feng Yu;

Recursive identification of stagnation pressure in wind tunnel system

Abstract

Identifying an accurate model of the stagnation pressure on-line will benefit the design of the controller and improve the quality of the wind tunnel experiments. This paper focuses on the recursive identification of the stagnation pressure in the wind tunnel system. Based on the study of the aforementioned system structure, the stagnation pressure system is expressed by a block oriented model with the Wiener type composed of a linear dynamic block followed by a nonlinear static block. Furthermore, an EKF-kind algorithm is proposed for the recursive identification of the unknown parameters in the model. The on-line identification results show the validity of the selected model structure and the proposed algorithm.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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