Sliding Mode Observers Versus Kalman Filter in the Homing Loop

Abstract

A comparison via Monte-Carlo simulations is made of Sliding Mode Observers versus Kalman Filter in the homing missile guidance system using different guidance laws. It's shown that the sliding mode observer contributes to less miss distance due to noise than Kalman filter. Application of sliding mode estimators in the homing loop with Proportional Navigation guidance and with a phase-lead compensation based on sliding mode estimators for the flight control system phase-lag is demonstrated. It is shown that this system gives performance comparable to the optimal guidance law with Kalman filter that has perfect knowledge of all additional information it requires for estimation.

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Document Details

Document Type
Technical Report
Publication Date
Jul 23, 2001
Accession Number
ADP011185

Entities

People

  • D. P. Lianos
  • I. A. Schkolnikov
  • P. Zarchan
  • Y. B. Shtessel

Organizations

  • University of Alabama in Huntsville

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computers
  • Control Systems
  • Engineering
  • Estimators
  • Flight Control Systems
  • Guidance
  • Homing
  • Kalman Filters
  • Mathematical Models
  • Miss Distance
  • Models
  • Monte Carlo Method
  • Navigation
  • Proportional Navigation
  • Simulations
  • Systems Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.
  • Inertial Navigation Systems.