Author： Bucy Richard S. Asseo Sabi J. Weissenberger David A.
Publisher： AHS International
ISSN： 2161-6027
Source： Journal of the American Helicopter Society, Vol.27, Iss.1, 1982-01, pp. : 16-24
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
The problem of estimating helicopter and target motion for the Advanced Attack Helicopter fire control system is formulated using the Kalman-Bucy one-step predictor. Dynamic models for the helicopter and target are developed based on paint mass and correlated random accelerations. Observations include own ship velocity and acceleration, range, line-of-sight (LOS) angles and rates. The estimation problem is formulated in moving LOS coordinates, where the dynamic models depend on the LOS rate vector, which is assumed noise-free and constant in the sampling interval. The nine-state helicopter estimator is omitted and helicopter velocity and acceleration measurements are used directly in the evaluation of the target state estimator performance. A scenario-based simulation program and test data on ground vehicle motion are used in the evaluation. The effects of various error sources, including sensor noise and LOS rate gyro noise, are investigated. It is shown that target state estimates perpendicular to the LOS which affect the predicted future target position, are quite good as opposed to the target estimated along the LOS.
Related content
An Advanced Helicopter Engine Control System
Aircraft Engineering, Vol. 55, Iss. 3, 1993-12 ,pp. :
Access to resources
Recommend
Direct adaptive fuzzy control for a nonlinear helicopter system
Aircraft Engineering, Vol. 80, Iss. 2, 2008-03 ,pp. :