Step response based identification of hammerstein models: Application to Mach number drift in an intermittent wind tunnel

Jian Zhang

doi:10.1109/ascc.2017.8287429

Step response based identification of hammerstein models: Application to Mach number drift in an intermittent wind tunnel

Jian Zhang^*

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

This study first proposes using the Hammerstein model to characterize the Mach number drift in an intermittent wind tunnel. To guarantee system safety, a new identification method based on multiple step response data is developed to estimate the Hammerstein model parameters. The practical wind tunnel test illustrates the identified Hammerstein model can describe the Mach number drift with high precision.

Original language	English
Title of host publication	2017 11th Asian Control Conference (ASCC)
Publisher	IEEE
Pages	1695-1700
ISBN (Electronic)	9781509015733
ISBN (Print)	9781509015740
DOIs	https://doi.org/10.1109/ascc.2017.8287429
Publication status	Published - 7 Feb 2018
Event	2017 11th Asian Control Conference, ASCC 2017 - Gold Coast Convention and Exhibition Centre, Gold Coast, Australia Duration: 17 Dec 2017 → 20 Dec 2017 Conference number: 11th https://www.ascc2017.com/

Conference

Conference	2017 11th Asian Control Conference, ASCC 2017
Abbreviated title	ASCC 2017
Place	Australia
City	Gold Coast
Period	17/12/17 → 20/12/17
Internet address	https://www.ascc2017.com/

Research Keywords

angle of attack
Hammerstein model
Mach number drift
step response
wind tunnel

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10.1109/ascc.2017.8287429

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title = "Step response based identification of hammerstein models: Application to Mach number drift in an intermittent wind tunnel",

abstract = "This study first proposes using the Hammerstein model to characterize the Mach number drift in an intermittent wind tunnel. To guarantee system safety, a new identification method based on multiple step response data is developed to estimate the Hammerstein model parameters. The practical wind tunnel test illustrates the identified Hammerstein model can describe the Mach number drift with high precision.",

keywords = "angle of attack, Hammerstein model, Mach number drift, step response, wind tunnel",

author = "Jian Zhang",

year = "2018",

month = feb,

day = "7",

doi = "10.1109/ascc.2017.8287429",

language = "English",

isbn = "9781509015740",

pages = "1695--1700",

booktitle = "2017 11th Asian Control Conference (ASCC)",

publisher = "IEEE",

address = "United States",

note = "2017 11th Asian Control Conference, ASCC 2017, ASCC 2017 ; Conference date: 17-12-2017 Through 20-12-2017",

url = "https://www.ascc2017.com/",

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T1 - Step response based identification of hammerstein models

T2 - 2017 11th Asian Control Conference, ASCC 2017

AU - Zhang, Jian

N1 - Conference code: 11th

PY - 2018/2/7

Y1 - 2018/2/7

N2 - This study first proposes using the Hammerstein model to characterize the Mach number drift in an intermittent wind tunnel. To guarantee system safety, a new identification method based on multiple step response data is developed to estimate the Hammerstein model parameters. The practical wind tunnel test illustrates the identified Hammerstein model can describe the Mach number drift with high precision.

AB - This study first proposes using the Hammerstein model to characterize the Mach number drift in an intermittent wind tunnel. To guarantee system safety, a new identification method based on multiple step response data is developed to estimate the Hammerstein model parameters. The practical wind tunnel test illustrates the identified Hammerstein model can describe the Mach number drift with high precision.

KW - angle of attack

KW - Hammerstein model

KW - Mach number drift

KW - step response

KW - wind tunnel

UR - https://www.scopus.com/pages/publications/85047446713

UR - https://www.scopus.com/pages/publications/85047446713#tab=impact

U2 - 10.1109/ascc.2017.8287429

DO - 10.1109/ascc.2017.8287429

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781509015740

SP - 1695

EP - 1700

BT - 2017 11th Asian Control Conference (ASCC)

PB - IEEE

Y2 - 17 December 2017 through 20 December 2017

ER -

Step response based identification of hammerstein models: Application to Mach number drift in an intermittent wind tunnel

Abstract

Conference

Research Keywords

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Parameter Identification and Model Predictive Control for Hammerstein Systems

Cite this

Step response based identification of hammerstein models: Application to Mach number drift in an intermittent wind tunnel

Abstract

Conference

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

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Student theses

Parameter Identification and Model Predictive Control for Hammerstein Systems

Cite this