Stochastic approach to robust flight control design using hierarchy-structured dynamic inversion

Jun'Ichiro Kawaguchi, Tetsujiro Ninomiya, Yoshikazu Miyazawa

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

The stochastic approach to robust flight control design using hierarchy-structured dynamic inversion (HSDI) was examined. Intensive robustness evaluation by root sum square (RSS) and Monte Carlo simulation (MCS) was performed using an elaborate nonlinear model of a subscale reentry vehicle, which revealed the HSDI autoland controller to be as robust as the baseline linear robust controller. Touchdown robustness was finally enhanced by a stochastic optimization scheme using the downhill simplex method combined with MCS evaluation. The optimization results showed that the HSDI autoland controller realized better touchdown robustness due to the simultaneous tuning of its guidance and control parameters. An HSDI-based flight control design methodology reduces design cost due to its easy-to-tune control structure and has sufficient robustness for practical applications in industry.

Original languageEnglish
Pages (from-to)1573-1577
Number of pages5
JournalJournal of Guidance, Control, and Dynamics
Volume34
Issue number5
DOIs
Publication statusPublished - Sep 1 2011

Fingerprint

flight control
Flight Control
Robust Control
Control Design
hierarchies
Inversion
touchdown
flight
inversions
Robustness
controllers
Robustness (control systems)
Controller
Controllers
design to cost
Monte Carlo Simulation
simplex method
reentry vehicles
Reentry
optimization

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Aerospace Engineering
  • Space and Planetary Science
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Stochastic approach to robust flight control design using hierarchy-structured dynamic inversion. / Kawaguchi, Jun'Ichiro; Ninomiya, Tetsujiro; Miyazawa, Yoshikazu.

In: Journal of Guidance, Control, and Dynamics, Vol. 34, No. 5, 01.09.2011, p. 1573-1577.

Research output: Contribution to journalArticle

Kawaguchi, Jun'Ichiro ; Ninomiya, Tetsujiro ; Miyazawa, Yoshikazu. / Stochastic approach to robust flight control design using hierarchy-structured dynamic inversion. In: Journal of Guidance, Control, and Dynamics. 2011 ; Vol. 34, No. 5. pp. 1573-1577.
@article{8206c376365147339635657f3195b3d9,
title = "Stochastic approach to robust flight control design using hierarchy-structured dynamic inversion",
abstract = "The stochastic approach to robust flight control design using hierarchy-structured dynamic inversion (HSDI) was examined. Intensive robustness evaluation by root sum square (RSS) and Monte Carlo simulation (MCS) was performed using an elaborate nonlinear model of a subscale reentry vehicle, which revealed the HSDI autoland controller to be as robust as the baseline linear robust controller. Touchdown robustness was finally enhanced by a stochastic optimization scheme using the downhill simplex method combined with MCS evaluation. The optimization results showed that the HSDI autoland controller realized better touchdown robustness due to the simultaneous tuning of its guidance and control parameters. An HSDI-based flight control design methodology reduces design cost due to its easy-to-tune control structure and has sufficient robustness for practical applications in industry.",
author = "Jun'Ichiro Kawaguchi and Tetsujiro Ninomiya and Yoshikazu Miyazawa",
year = "2011",
month = "9",
day = "1",
doi = "10.2514/1.53257",
language = "English",
volume = "34",
pages = "1573--1577",
journal = "Journal of Guidance, Control, and Dynamics",
issn = "0731-5090",
publisher = "American Institute of Aeronautics and Astronautics Inc. (AIAA)",
number = "5",

}

TY - JOUR

T1 - Stochastic approach to robust flight control design using hierarchy-structured dynamic inversion

AU - Kawaguchi, Jun'Ichiro

AU - Ninomiya, Tetsujiro

AU - Miyazawa, Yoshikazu

PY - 2011/9/1

Y1 - 2011/9/1

N2 - The stochastic approach to robust flight control design using hierarchy-structured dynamic inversion (HSDI) was examined. Intensive robustness evaluation by root sum square (RSS) and Monte Carlo simulation (MCS) was performed using an elaborate nonlinear model of a subscale reentry vehicle, which revealed the HSDI autoland controller to be as robust as the baseline linear robust controller. Touchdown robustness was finally enhanced by a stochastic optimization scheme using the downhill simplex method combined with MCS evaluation. The optimization results showed that the HSDI autoland controller realized better touchdown robustness due to the simultaneous tuning of its guidance and control parameters. An HSDI-based flight control design methodology reduces design cost due to its easy-to-tune control structure and has sufficient robustness for practical applications in industry.

AB - The stochastic approach to robust flight control design using hierarchy-structured dynamic inversion (HSDI) was examined. Intensive robustness evaluation by root sum square (RSS) and Monte Carlo simulation (MCS) was performed using an elaborate nonlinear model of a subscale reentry vehicle, which revealed the HSDI autoland controller to be as robust as the baseline linear robust controller. Touchdown robustness was finally enhanced by a stochastic optimization scheme using the downhill simplex method combined with MCS evaluation. The optimization results showed that the HSDI autoland controller realized better touchdown robustness due to the simultaneous tuning of its guidance and control parameters. An HSDI-based flight control design methodology reduces design cost due to its easy-to-tune control structure and has sufficient robustness for practical applications in industry.

UR - http://www.scopus.com/inward/record.url?scp=80052667098&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052667098&partnerID=8YFLogxK

U2 - 10.2514/1.53257

DO - 10.2514/1.53257

M3 - Article

VL - 34

SP - 1573

EP - 1577

JO - Journal of Guidance, Control, and Dynamics

JF - Journal of Guidance, Control, and Dynamics

SN - 0731-5090

IS - 5

ER -