Multivariable Control Law Design for the Control Reconfigurable Combat Aircraft (CRCA)

Abstract

Typically, control law analysis and design for an aircraft include separating the longitudinal and lateral equations of motion and designing control laws for each separate motion. The simplifying assumptions are often valid and do not adversely affect the analysis and design when aerodynamic cross-coupling is minimal. The Control Reconfigurable Combat Aircraft (CRCA) design includes an all-flying canard with 30 degrees of dihedral angle which prevents the normal separation of lateral and longitudinal equations because of high aerodynamic cross-coupling. The multivariable control law design used in this thesis incorporates the high gain error actuated Proportional plus Integral (PI) controller developed by Professor Brian Porter of the University of Salford, England. Control law development and simulation are preformed using the computer aided design program called mat. Two successful fixed gain controller design methods and an adaptive controller design are demonstrated. The three control surfaces on each wing are operated together, so they are treated in this thesis as one control effector. Thus, the five CRCA control inputs for this design consist of two canards, left trailing edge flaperon, right trailing edge flaperon, and rudder. An adaptive controller design, using a recursive least squares (RLS) parameter estimation algorithm, is developed for a self-tuning control system.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA202697

Entities

People

  • Daryl Hammond

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Closed Loop Systems
  • Computational Science
  • Computer-Aided Design
  • Computers
  • Control Surfaces
  • Control Systems
  • Control Systems Engineering
  • Difference Equations
  • Engineers
  • Equations
  • Equations Of Motion
  • Flight Control Systems
  • High Gain
  • Metal Matrix Composites
  • Plastic Explosives

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerodynamics/Aeronautics.
  • Robotics and Automation.