Coordinated Control Systems Design for Fuel Efficiency

Abstract

This basic research study has been concerned with the investigation of coordinated control systems design for improved fuel efficiency. We believe that the coordinated control algorithm developed here would be useful not only in improving fuel efficiency, but also in optimizing the coordination between the various control systems on a given aircraft for improved system performance. This study had two major thrusts. The first one is concerned with the selection of different controller cost functionals such that these performance indices do not conflict with each other. In particular, we have defined the notion of noninteraction for quadratic cost functionals and found necessary and sufficient conditions for interaction between quadratic costs. The second major effort of our study is the formulation of the decentralized control design as a constrained optimal output feedback problem. In this framework, we have developed necessary conditions for existence of an optimal decentralized control law, derived two numerical algorithms for the computation of the optimal decentralized control, and proved the convergence of the decentralized algorithm under suitable conditions. Finally, convergence characteristics of the two algorithms are compared using a tenth order model of a jet aircraft example involving the joint design of flight and engine control subsystems.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1984
Accession Number
ADA154969

Entities

People

  • Alper K. Caglayan
  • John R. Broussard
  • Nesim Halyo
  • Roy E. Lancraft

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Airframes
  • Algorithms
  • Closed Loop Systems
  • Commercial Aircraft
  • Computations
  • Control Systems
  • Control Systems Engineering
  • Energy Management
  • Engineers
  • Feedback
  • Flight Control Systems
  • Fuel Efficiency
  • Governments
  • Systems Engineering
  • United States

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerospace Engineering
  • Joint Military Operations and Doctrine.