A Minimum Effort Control Approach to Guided Munition Path Planning

Abstract

An advance in the development of smart munitions entails autonomously modifying target selection during flight to maximize the value of the target being destroyed. Target identification and classification provides a basis for target value, which is used in conjunction with multi-target tracks to determine an optimal aim point for the munition. A unique guidance law can be constructed that exploits attribute and kinematic data from an onboard video sensor. This thesis develops an innovative path planning algorithm that provides an obstacle avoidance function while navigating the munition toward the highest value target. The foundation of this path planning method is found in the principles of minimum effort control optimization. Results demonstrate the ability of the path planning algorithm to determine a path for the munition to follow which is both stable and feasible.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2006
Accession Number
ADA451113

Entities

People

  • Jeffrey M. Borkowski

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Collision Avoidance
  • Computational Complexity
  • Computational Science
  • Computer Programming
  • Control Systems
  • Control Systems Engineering
  • Equations
  • Guidance
  • Linear Systems
  • Model Predictive Control
  • Motion Planning
  • Navigation
  • Optimization
  • Probability

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design