Adaptive output feedback control of the NASA GTM model with unknown Nonminimum-phase zeros

Anthony M. D'Amato, E. Dogan Sumer, Kenny S. Mitchell, Alexey V. Morozov, Jesse B. Hoagg, Dennis S. Bernsteinll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

In this paper we apply retrospective cost adaptive control (RCAC) to the NASA Generic Transport Model (GTM). The goal is to demonstrate command following and disturbance rejection techniques using a minimum amount of modeling information. In previous work, RCAC was applied to GTM using knowledge of the nonminmum-phase zeros, the relative degree, and the first non-zero Markov parameter associated with the linearized flight dynamics. In this paper, we further reduce the modeling requirements of RCAC by demonstrating that only a limited number of Markov parameters are needed to control the GTM model. We first demonstrate the method on illustrative single-input, single-output (SISO) and multi-input, multi-output (MIMO) problems. Next we demonstrate the method on linearized SISO and MIMO GTM models, and finally, the fully nonlinear GTM model.

Original languageEnglish
Title of host publicationAIAA Guidance, Navigation, and Control Conference 2011
DOIs
StatePublished - 2011
EventAIAA Guidance, Navigation and Control Conference 2011 - Portland, OR, United States
Duration: Aug 8 2011Aug 11 2011

Publication series

NameAIAA Guidance, Navigation, and Control Conference 2011

Conference

ConferenceAIAA Guidance, Navigation and Control Conference 2011
Country/TerritoryUnited States
CityPortland, OR
Period8/8/118/11/11

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Control and Systems Engineering

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