A Simulation Study of Four Real-Time Heuristic Algorithms for Multiple Missile Missile Evasion: A Game Theoretic Approach
Abstract
Four real-time heuristic algorithms for determining aircraft evasion strategies against a multiple missile threat are described. Algorithms 1 and 2 are based on a myopic saddle-point calculation which apportions the projection of the instantaneous aircraft acceleration among the normals to the individual maneuver or guidance planes defined by each missile and its target. Algorithms 3 and 4 are also based on myopic saddle-point calculations. These latter two algorithms apportion the projection of the instantaneous aircraft acceleration into the individual maneuver planes so as to maximize the minimum of a function which is related to the line of sight rate of each missile threat. These latter two algorithms are motivated by the concept of anti-proportional navigation. Simulation results using each algorithm with generic F-4 and AIM-9 truth models, characterized by nonlinear differential equations, including lift, drag, gravity, 3-dimensional point mass dynamics, aircraft load factor and roll rate limits, and missile autopilot dynamics and load factor limits are presented. All four heuristic algorithms are motivated by a formal game theoretic model for multiple missile evasion. This formal game theoretic analysis is included as part of this study. Keywords: Computerized simulation; Game theory; Control theory; Mathematical models.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1979
- Accession Number
- ADA211093
Entities
People
- Max Mintz
- Michael S. Sheketoff
- Stephen F. Huling
Organizations
- Moore School of Electrical Engineering