Robust control approach for re-entry vehicle based on inversion model

Wen Tao Ma; Qing Zhen Zhang; Bobo Shi; Chen Gao

Robust control approach for re-entry vehicle based on inversion model

Wen Tao Ma^*
, Qing Zhen Zhang
, Bobo Shi
, Chen Gao

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The classical linear control method based on small-perturbation theory couldn't adapt to the complex flight environment and large airspace, strong coupling and nonlinear characteristics of re-entry vehicle. A new robust control method combining fuzzy sliding mode control and nonlinear dynamic inversion is presented. Dynamic inversion controller can approximately decouple the nonlinear plant into three separate one-order linear systems. To eliminate tracking errors caused by dynamic inversion and disturbances, the fuzzy sliding mode controller outputs the input signal needed by dynamic inversion controller. Nonlinear simulation of a control system usingMATLAB/SIMULINK shows that the designed controller can provide the excellent tracking performance and robustness of control system.

Original language	English
Title of host publication	Proceedings of the 29th Chinese Control Conference, CCC'10
Pages	2005-2009
Number of pages	5
State	Published - 2010
Event	29th Chinese Control Conference, CCC'10 - Beijing, China Duration: 29 Jul 2010 → 31 Jul 2010

Publication series

Name	Proceedings of the 29th Chinese Control Conference, CCC'10

Conference

Conference	29th Chinese Control Conference, CCC'10
Country/Territory	China
City	Beijing
Period	29/07/10 → 31/07/10

Keywords

Control system
Fuzzy sliding mode control
Nonlinear dynamic inversion
Re-entry vehicle

Cite this

@inproceedings{b38846b593494525ac877afa7f5ae611,

title = "Robust control approach for re-entry vehicle based on inversion model",

abstract = "The classical linear control method based on small-perturbation theory couldn't adapt to the complex flight environment and large airspace, strong coupling and nonlinear characteristics of re-entry vehicle. A new robust control method combining fuzzy sliding mode control and nonlinear dynamic inversion is presented. Dynamic inversion controller can approximately decouple the nonlinear plant into three separate one-order linear systems. To eliminate tracking errors caused by dynamic inversion and disturbances, the fuzzy sliding mode controller outputs the input signal needed by dynamic inversion controller. Nonlinear simulation of a control system usingMATLAB/SIMULINK shows that the designed controller can provide the excellent tracking performance and robustness of control system.",

keywords = "Control system, Fuzzy sliding mode control, Nonlinear dynamic inversion, Re-entry vehicle",

author = "Ma, \{Wen Tao\} and Zhang, \{Qing Zhen\} and Bobo Shi and Chen Gao",

year = "2010",

language = "英语",

isbn = "9787894631046",

series = "Proceedings of the 29th Chinese Control Conference, CCC'10",

pages = "2005--2009",

booktitle = "Proceedings of the 29th Chinese Control Conference, CCC'10",

note = "29th Chinese Control Conference, CCC'10 ; Conference date: 29-07-2010 Through 31-07-2010",

}

Robust control approach for re-entry vehicle based on inversion model. / Ma, Wen Tao; Zhang, Qing Zhen; Shi, Bobo et al.
Proceedings of the 29th Chinese Control Conference, CCC'10. 2010. p. 2005-2009 5573429 (Proceedings of the 29th Chinese Control Conference, CCC'10).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Robust control approach for re-entry vehicle based on inversion model

AU - Ma, Wen Tao

AU - Zhang, Qing Zhen

AU - Shi, Bobo

AU - Gao, Chen

PY - 2010

Y1 - 2010

N2 - The classical linear control method based on small-perturbation theory couldn't adapt to the complex flight environment and large airspace, strong coupling and nonlinear characteristics of re-entry vehicle. A new robust control method combining fuzzy sliding mode control and nonlinear dynamic inversion is presented. Dynamic inversion controller can approximately decouple the nonlinear plant into three separate one-order linear systems. To eliminate tracking errors caused by dynamic inversion and disturbances, the fuzzy sliding mode controller outputs the input signal needed by dynamic inversion controller. Nonlinear simulation of a control system usingMATLAB/SIMULINK shows that the designed controller can provide the excellent tracking performance and robustness of control system.

AB - The classical linear control method based on small-perturbation theory couldn't adapt to the complex flight environment and large airspace, strong coupling and nonlinear characteristics of re-entry vehicle. A new robust control method combining fuzzy sliding mode control and nonlinear dynamic inversion is presented. Dynamic inversion controller can approximately decouple the nonlinear plant into three separate one-order linear systems. To eliminate tracking errors caused by dynamic inversion and disturbances, the fuzzy sliding mode controller outputs the input signal needed by dynamic inversion controller. Nonlinear simulation of a control system usingMATLAB/SIMULINK shows that the designed controller can provide the excellent tracking performance and robustness of control system.

KW - Control system

KW - Fuzzy sliding mode control

KW - Nonlinear dynamic inversion

KW - Re-entry vehicle

UR - https://www.scopus.com/pages/publications/78650234379

M3 - 会议稿件

AN - SCOPUS:78650234379

SN - 9787894631046

T3 - Proceedings of the 29th Chinese Control Conference, CCC'10

SP - 2005

EP - 2009

BT - Proceedings of the 29th Chinese Control Conference, CCC'10

T2 - 29th Chinese Control Conference, CCC'10

Y2 - 29 July 2010 through 31 July 2010

ER -

Robust control approach for re-entry vehicle based on inversion model

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Publication series

Conference

Keywords

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