Flight data processing with the F-8 adaptive algorithmAn explicit adaptive control algorithm based on maximum likelihood estimation of parameters has been designed for NASA's DFBW F-8 aircraft. To avoid iterative calculations, the algorithm uses parallel channels of Kalman filters operating at fixed locations in parameter space. This algorithm has been implemented in NASA/DFRC's Remotely Augmented Vehicle (RAV) facility. Real-time sensor outputs (rate gyro, accelerometer and surface position) are telemetered to a ground computer which sends new gain values to an on-board system. Ground test data and flight records were used to establish design values of noise statistics and to verify the ground-based adaptive software. The software and its performance evaluation based on flight data are described
Document ID
19770059906
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Hartmann, G. (Honeywell, Inc. Minneapolis, MN, United States)
Stein, G. (Honeywell, Inc. Minneapolis, Minn., United States)
Petersen, K. (NASA Flight Research Center Edwards, Calif., United States)