Robustness analysis of a reusable launch vehicle flight control law

P. P. Menon; I. Postlethwaite; S. Bennani; A. Marcos; D. G. Bates

doi:10.1016/j.conengprac.2008.12.002

Robustness analysis of a reusable launch vehicle flight control law

P. P. Menon, I. Postlethwaite, S. Bennani, A. Marcos, D. G. Bates^*

^*Corresponding author for this work

Department of Aerospace Engineering

Research output: Contribution to journal › Article (Academic Journal) › peer-review

32 Citations (Scopus)

Abstract

This paper describes a novel optimisation-based framework for analysing the robustness of advanced flight control laws for reusable launch vehicles. The proposed analysis methods are applied and tested on an industrial-standard simulation model of a reusable launch vehicle equipped with a full authority nonlinear dynamic inversion-based flight control law. The reliability, computational complexity and efficiency of the framework are evaluated against standard industrial approaches based on Monte Carlo simulation. The results of the study show that the proposed approach has the potential to significantly improve both the reliability and efficiency of the flight clearance process for future reusable launch vehicles. (C) 2008 Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	751-765
Number of pages	15
Journal	Control Engineering Practice
Volume	17
Issue number	7
DOIs	https://doi.org/10.1016/j.conengprac.2008.12.002
Publication status	Published - Jul 2009

Keywords

Hybrid optimisation
Robustness analysis
Flight control
Nonlinear systems
MULTIOBJECTIVE OPTIMIZATION
EVOLUTIONARY OPTIMIZATION
GENETIC ALGORITHM
SEARCH
DESIGN
AIRCRAFT
MODEL

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@article{0cb1d8eb5d8d44fbb8059ac35f82cad7,

title = "Robustness analysis of a reusable launch vehicle flight control law",

abstract = "This paper describes a novel optimisation-based framework for analysing the robustness of advanced flight control laws for reusable launch vehicles. The proposed analysis methods are applied and tested on an industrial-standard simulation model of a reusable launch vehicle equipped with a full authority nonlinear dynamic inversion-based flight control law. The reliability, computational complexity and efficiency of the framework are evaluated against standard industrial approaches based on Monte Carlo simulation. The results of the study show that the proposed approach has the potential to significantly improve both the reliability and efficiency of the flight clearance process for future reusable launch vehicles. (C) 2008 Elsevier Ltd. All rights reserved.",

keywords = "Hybrid optimisation, Robustness analysis, Flight control, Nonlinear systems, MULTIOBJECTIVE OPTIMIZATION, EVOLUTIONARY OPTIMIZATION, GENETIC ALGORITHM, SEARCH, DESIGN, AIRCRAFT, MODEL",

author = "Menon, {P. P.} and I. Postlethwaite and S. Bennani and A. Marcos and Bates, {D. G.}",

year = "2009",

month = jul,

doi = "10.1016/j.conengprac.2008.12.002",

language = "English",

volume = "17",

pages = "751--765",

journal = "Control Engineering Practice",

issn = "0967-0661",

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T1 - Robustness analysis of a reusable launch vehicle flight control law

AU - Menon, P. P.

AU - Postlethwaite, I.

AU - Bennani, S.

AU - Marcos, A.

AU - Bates, D. G.

PY - 2009/7

Y1 - 2009/7

N2 - This paper describes a novel optimisation-based framework for analysing the robustness of advanced flight control laws for reusable launch vehicles. The proposed analysis methods are applied and tested on an industrial-standard simulation model of a reusable launch vehicle equipped with a full authority nonlinear dynamic inversion-based flight control law. The reliability, computational complexity and efficiency of the framework are evaluated against standard industrial approaches based on Monte Carlo simulation. The results of the study show that the proposed approach has the potential to significantly improve both the reliability and efficiency of the flight clearance process for future reusable launch vehicles. (C) 2008 Elsevier Ltd. All rights reserved.

AB - This paper describes a novel optimisation-based framework for analysing the robustness of advanced flight control laws for reusable launch vehicles. The proposed analysis methods are applied and tested on an industrial-standard simulation model of a reusable launch vehicle equipped with a full authority nonlinear dynamic inversion-based flight control law. The reliability, computational complexity and efficiency of the framework are evaluated against standard industrial approaches based on Monte Carlo simulation. The results of the study show that the proposed approach has the potential to significantly improve both the reliability and efficiency of the flight clearance process for future reusable launch vehicles. (C) 2008 Elsevier Ltd. All rights reserved.

KW - Hybrid optimisation

KW - Robustness analysis

KW - Flight control

KW - Nonlinear systems

KW - MULTIOBJECTIVE OPTIMIZATION

KW - EVOLUTIONARY OPTIMIZATION

KW - GENETIC ALGORITHM

KW - SEARCH

KW - DESIGN

KW - AIRCRAFT

KW - MODEL

U2 - 10.1016/j.conengprac.2008.12.002

DO - 10.1016/j.conengprac.2008.12.002

M3 - Article (Academic Journal)

SN - 0967-0661

VL - 17

SP - 751

EP - 765

JO - Control Engineering Practice

JF - Control Engineering Practice

IS - 7

ER -

Robustness analysis of a reusable launch vehicle flight control law

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Keywords

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