Title :
A nonlinear helicopter tracker using attitude measurements
Author :
Andrisani, Dominick, II ; Kim, Eung TaI ; Schierman, John ; Kuhl, Frank P.
Author_Institution :
Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN, USA
fDate :
1/1/1991 12:00:00 AM
Abstract :
Extended-Kalman-filter-based trackers are discussed for maneuvering helicopters that use body angle and rotor tip-path-plane angle measurements in addition to the usual radar position measurements. Improvements were found in tracker performance when the body rotation and rotor tip-path-plane degrees of freedom were modeled within the extended Kalman filter. Tracker performance was further improved when measurements of body angles and rotor tip-path-plane angles were made available to the tracker
Keywords :
Kalman filters; aerospace computing; aircraft control; angular measurement; attitude control; digital simulation; estimation theory; helicopters; military computing; position measurement; tracking systems; ARMCOP; attitude measurements; body angle; extended Kalman filter; maneuvering helicopters; nonlinear helicopter tracker; nonlinear state equations; radar position measurements; rotor tip-path-plane angle measurements; simulation; Aerodynamics; Blades; Extraterrestrial measurements; Goniometers; Helicopters; Nose; Position measurement; Radar tracking; Rotors; Vehicles;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
