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 - 2011

All Science Journal Classification (ASJC) codes

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

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