Neural network based adaptive control with Hierarchy-Structured Dynamic Inversion applied to nonlinear aircraft model

Tetsujiro Ninomiya, Yoshikazu Miyazawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Japan Aerospace Exploration Agency plans a flight demonstration project for a super sonic transport. A typical supersonic transport has a larger flight envelope than conventional one, so that the flight controller is required to be more flexible to the flight environment. Therefore, the adaptive control method is a promising candidate for these flight control system. In this paper, we propose an adaptive control method which is comprised of neural networks and Hierarchical-Structured Dynamic Inversion. Its structure is clearly comprehensible to the users and numerical simulation results show that proposed method is effective even with model errors.

Original languageEnglish
Title of host publicationAIAA Guidance, Navigation, and Control Conference
DOIs
Publication statusPublished - Dec 1 2010
EventAIAA Guidance, Navigation, and Control Conference - Toronto, ON, Canada
Duration: Aug 2 2010Aug 5 2010

Other

OtherAIAA Guidance, Navigation, and Control Conference
CountryCanada
CityToronto, ON
Period8/2/108/5/10

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering

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