Advanced Guidance Algorithms for Homing Missiles with Bearings-Only Measurements.
Abstract
Homing missile guidance is formulated as an optimal stochastic control problem where the special nonlinear structure of the missile-target-engagement is exploited. Since this stochastic control problem assumes a nested information pattern, the filter structure can be developed independently of the guidance scheme. However, the guidance scheme is dependent on and affects predicted filter performance. Significant progress is being made on both the estimation problem and the guidance problem. Investigation of nonlinear estimators, especially tailored to the homing missile problem, has produced very responsive and mechanizable schemes. Although these schemes are applicable to active sensors, our emphasis has been on the more difficult passive sensor case where only angles are available. Recently developed schemes based on (1) coordinate transformation and (2) an assumed probability density function perform well, but the modified-gain extended Kalman filter seems to be the most promising. This filter has also been used as the basis of a stochastic adaptive flight control scheme. In order to improve this class of stochastic control schemes, new results have been obtained in control synthesis for structured plant uncertainty.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 1986
- Accession Number
- ADA182813
Entities
People
- David G. Hull
- Jason L. Speyer
Organizations
- University of Texas at Austin