On the Prediction and Optimality of Aircraft Maneuvers Associated with Approach and Landing,

Abstract

The report analyzes in detail two of the critical aircraft maneuvers associated with approach and landing: the go-around maneuver and the flare maneuver. Optimal solutions that include state and control variable constraints are obtained for both problems. Two algorithms are given for computation of the minimum and maximum altitude loss associated with the pilot controlled go-around maneuver. A matrix operator is obtained that can be used for inflight computation of the altitude loss on a small general purpose digital computer. The flare optimization presented is for a cost functional that includes both the longitudinal touchdown dispersion and the normal acceleration. A closed loop mechanization is given that approximates the optimal trajectory. A second matrix operator which can be used for prediction of the longitudinal touchdown point is obtained. Uncertainties are also obtained for the purpose of establishing a prediction confidence level. It is proposed that these prediction techniques should be incorporated into a decision making performance monitor. This monitor could provide the pilot with a continuous assessment of the approach and could generate a pre-flare decision on whether or not to commit the aircraft to the flare maneuver. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1971
Accession Number
AD0728325

Entities

People

  • Glenn Dexter Buell Jr

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Altitude
  • Computations
  • Computers
  • Digital Computers
  • Dispersions
  • Heuristic Methods
  • Inflight
  • Maneuvers
  • Mathematical Analysis
  • Mathematics
  • Mechanization
  • Optimization
  • Trajectories

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation