Accession Number : ADA182813

Title :   Advanced Guidance Algorithms for Homing Missiles with Bearings-Only Measurements.

Descriptive Note : Annual rept. 30 Sep 85-30 Sep 86,

Corporate Author : TEXAS UNIV AT AUSTIN DEPT OF AEROSPACE ENGINEERING AND ENGINEERING MECHANICS

Personal Author(s) : Speyer,Jason L ; Hull,David G

PDF Url : ADA182813

Report Date : 30 Sep 1986

Pagination or Media Count : 10

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.

Descriptors :   *ALGORITHMS, *GUIDANCE, *HOMING, *BEARING(DIRECTION), ANGLES, CONTROL, COORDINATES, DETECTORS, ESTIMATES, FILTERS, GUIDED MISSILES, HOMING DEVICES, NONLINEAR SYSTEMS, OPTIMIZATION, PASSIVE SYSTEMS, PATTERNS, PROBABILITY DENSITY FUNCTIONS, STOCHASTIC CONTROL, SYNTHESIS, TRANSFORMATIONS, GUIDED MISSILE TARGETS, KALMAN FILTERING, ADAPTIVE CONTROL SYSTEMS, FLIGHT CONTROL SYSTEMS

Subject Categories : Air Navigation and Guidance
      Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE