Nonlinear System Identification Methodology Development Based on F-4S Flight Test Data Analysis.

Abstract

The Naval Air Test Center (NATC) and Systems Control Technology, Inc. (SCT) have worked jointly to develop an advanced flight test data processing technique that supports an integrated flight testing procedure (i.e., extraction of test data for multiple test requirements from common flight conditions). This data processing technique is commonly referred to as system (or parameter) identification. Realization of this goal for an integrated flight testing procedure is dependent on the ability to identify nonlinear aerodynamic characteristics and propulsion system performance from flight test data. The identified models can be used to define performance, stability and control, and unaugmented airframe dynamic characteristics of the aircraft being evaluated. The need for improved modeling of aircraft aerodynamic characteristic has been, and continues to be apparent in numerous areas of technical and operational importance. Four such areas are: (1) flying quality military specification compliance testing, (2) training simulations, (3) design methods for specification of aircraft characteristics, and (4) the development of mission profiles that make optimum use of the airplane's capabilities. In general, there is a need for an improved understanding of an airplane's aerodynamic characteristics to support design improvements for increased cost effectiveness, expanded mission flexibility and enhanced operational safety.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA146289

Entities

People

  • J. H. Vincent
  • S. N. Franklin
  • T. L. Trankle
  • U. H. Rabin

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Actuators
  • Aerodynamic Characteristics
  • Aircrafts
  • Airframes
  • Computational Science
  • Data Analysis
  • Data Processing
  • Databases
  • Differential Equations
  • Geometry
  • Kalman Filters
  • Leading Edge Flaps
  • Mathematical Filters
  • Measurement
  • Propulsion Systems
  • Test And Evaluation

Fields of Study

  • Engineering

Readers

  • Aerospace Test and Evaluation
  • Control Systems Engineering.
  • Systems Analysis and Design