Helicopter flight control using direct neural dynamic programming

Russell Enns, Jennie Si

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Scopus citations

Abstract

This chapter presents a complex continuous state system control problem using the direct NDP method introduced in Chapter 5. The system examined is an Apache helicopter modeled using the full-scale industrial simulator FLYRT. The focus is on how direct NDP can be used to control complex, realistic, and high-dimensional systems. The problem formulation, objectives, implementation, results, and insights that can be gained from doing direct NDP designs are discussed in detail. This case study is one of the applications examined in this book that addresses the challenging generalization issue.

Original languageEnglish (US)
Title of host publicationHandbook of Learning and Approximate Dynamic Programming
PublisherWiley-IEEE Press
Pages535-559
Number of pages25
ISBN (Electronic)9780470544785
ISBN (Print)047166054X, 9780471660545
DOIs
StatePublished - Jan 1 2004

Keywords

  • Aerospace control
  • Artificial neural networks
  • Atmospheric modeling
  • Dynamic programming
  • Helicopters
  • Mathematical model
  • Rotors

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Enns, R., & Si, J. (2004). Helicopter flight control using direct neural dynamic programming. In Handbook of Learning and Approximate Dynamic Programming (pp. 535-559). Wiley-IEEE Press. https://doi.org/10.1109/9780470544785.ch21