Application of Modern Guidance Control Theory to a Bank-to-Turn Missile,

Abstract

Control laws of a bank-to-turn missile using an optimal estimator in terminal guidance were designed and the effect of increasing the number of measurement sensors in the missile to generate more information on the state was investigated. In design of the control law, modern optimal control theory with a quadratic performance index was used. Implementing this control law required use of a Kalman filter as the optimal estimator. The extended Kalman filter algorithm was used since the measurement states were non-linear functions of the state vectors (relative distance, velocity and target acceleration). To test the effects of implementation of the increased measurement sensors, two-, four- and six-measurement sensors were assumed to be implemented in the optimal estimator. The designed guidance laws were evaluated and the effect of the implementation of increased measurement sensors was tested. Simulation results revealed that the designed guidance law was successful within the specified scenarios. The effect of implementation of increased measurement sensors generated more information about the state vectors, but as the Kalman filter algorithm became more complex, the estimator performance was not enhanced to the degree expected.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1984
Accession Number
ADA145646

Entities

People

  • B. Shin

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Simulations
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Coordinate Systems
  • Equations
  • Equations Of State
  • Filters
  • Geometry
  • Guidance
  • Kalman Filters
  • Measurement
  • Miss Distance
  • Optimal Estimators
  • Plastic Explosives
  • Simulations

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Missile Defense Systems.