Self-tuning Generalized Predictive Control applied to terrain following flightGeneralized Predictive Control (GPC) describes an algorithm for the control of dynamic systems in which a control input is generated which minimizes a quadratic cost function consisting of a weighted sum of errors between desired and predicted future system output and future predicted control increments. The output predictions are obtained from an internal model of the plant dynamics. Self-tuning GPC refers to an implementation of the GPC algorithm in which the parameters of the internal model(s) are estimated on-line and the predictive control law tuned to the parameters so identified. The self-tuning GPC algorithm is applied to a problem of rotorcraft longitudinal/vertical terrain-following flight. The ability of the algorithm to tune to the initial vehicle parameters and to successfully adapt to a stability augmentation failure is demonstrated. Flight path performance is compared to a conventional, classically designed flight path control system.
Document ID
19890065178
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Hess, R. A. (California, University Davis, United States)
Jung, Y. C. (California Univ. Davis, CA, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Subject Category
Aircraft Stability And Control
Report/Patent Number
AIAA PAPER 89-3450
Meeting Information
Meeting: AIAA Guidance, Navigation and Control Conference