Development of a Nonlinear Simulation for the McDonnell Douglas F-15 Eagle with a Longitudinal TECS Control-Law.

Abstract

The purpose of this report is to develop using SIMULINK an aircraft simulation that couples the nonlinear equations of motion with the nonlinear aerodynamic and engine performance data. The simulation has been designed using data from actual flight testing of the McDonnell Douglas E-15 Eagle. The ultimate objective is to provide a generic framework for the development of nonlinear simulations of other aircraft with minimal required changes. Design of a longitudinal autopilot using the Total Energy Control System (TECS) concept is accomplished using the linearized model and later validated with the nonlinear model. 1.2 Analysis of Data Provided The following sections summarize the model characteristics and the relevant support modules for the F-15 described in 5. The numerical data were provided in the format of a Genesis simulation used at Wright-Patterson and the coding was subsequently converted from EORTR%AN to MATLAB. A detailed description of the model follows in Chapter 2. The evaluation of the open-loop nonlinear model and the design of the TECS control law will be accomplished at the two flight points shown in Table 1.1. Other flight conditions throughout the flight envelope will also be investigated.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA288610

Entities

People

  • James P. Dutton Jr

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aerodynamic Control Surfaces
  • Aerodynamic Forces
  • Afterburners
  • Aircrafts
  • Angular Momentum
  • Closed Loop Systems
  • Control Surfaces
  • Control Systems
  • Equations Of Motion
  • Fighter Aircraft
  • Flight Control Systems
  • Mach Number
  • Moment Of Inertia
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Plastic Explosives
  • Tidal Turbines

Readers

  • Aviation Safety and Air Traffic Management
  • Computational Modeling and Simulation
  • Control Systems Engineering.