Application of Robust Control and Gain Scheduling to Missile Autopilot Design.

Abstract

The problem of gain scheduling LPV systems is studied and applied to missile autopilot design. Necessary and sufficient conditions for determining the Quadratic stabilizing of LPV systems are given. A stabilizing LPV controller is found if one exists. The necessary and sufficient conditions are realistically computable with reduced dimension and with only the elements of the Lyapunov matrix P as the unknown variables. The quadratic Stability results are then extended to the more general case of General Lyapunov stability. The derivation is the same as for Quadratic stability, except there is an additional term that is a function of the derivative of the Lyapunov function. An algorithm is presented that will solve these new conditions. Finally two methods for finding minimal/near minimal realizations for 2-D systems is presented. The first method requires extracting any greatest common divisors out of a nonminimal realization and then returning the realization back to state-space form. This method does not extend to N-D systems. However the second method, the System Equivalent Based method, can be extended to N-D systems. This method begins with the LPV system description being converted to Rosenbreock's system matrix form. Then the system matrix form is systematically manipulated until it is in state-space form.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA357847

Entities

People

  • S. L. Fields
  • T. E. Bullock

Organizations

  • University of Florida

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Automatic Pilots
  • Closed Loop Systems
  • Computations
  • Control Systems
  • Control Systems Engineering
  • Engineering
  • Engineers
  • Equations
  • Linear Systems
  • Lyapunov Functions
  • Open Loop Systems
  • Rational Functions
  • Real Numbers
  • Scheduling (Production)
  • Transfer Functions
  • Two Dimensional

Readers

  • Control Systems Engineering.
  • Linear Algebra

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers