Constrained Model Predictive Control of a Nonlinear Aerospace System.

Abstract

Recent research efforts have applied the receding horizon Model Predictive Control (MPC) strategy to linearized high performance aerospace systems. The research contained in this thesis used these recent results in order to apply the MPC strategy to a nonlinear high performance aerospace system, specifically an F-16 fighter aircraft model. The model was commanded to follow dynamic trajectories of roll angle and altitude. Further, adaptive constraint techniques were used to improve system tracking. To accomplish these tasks, code and block diagrams were generated using the commercial software packages of Matlab and Simulink. Numerous simulations were conducted with the goal of achieving realistic aircraft performance. In many cases, to improve system tracking and reduce control input oscillations, rigid mathematical constraints previously used in the MPC strategy were relaxed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1997
Accession Number
ADA336680

Entities

People

  • Christopher M. Shearer

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Models
  • Aircrafts
  • Altitude
  • Computer Programs
  • Engineering
  • Equations
  • Estimators
  • Fighter Aircraft
  • Mach Number
  • Model Predictive Control
  • Models
  • Moment Of Inertia
  • Multiple Input Multiple Output
  • Nonlinear Dynamics
  • Physical Properties
  • Simulations

Readers

  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation
  • Robotics and Automation.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers