A Dynamic Cell Structure (DCS ) Neural Network was developed which learns a topology representing network (TRN) of F-15 aircraft aerodynamic stability and control derivatives. The network is combined with a feedback linearized tracking controller to produce a robust control architecture capable of handling multiple accident and off-nominal flight scenarios. This paper describes network and its performance for accident scenarios including differential stabilator lock, soft sensor failure, control, stability derivative variation, and turbulence.
Feedback Linearized Aircraft Control Using Dynamic Cell Structure
WAC 98 ; 1998 ; Anchorage, AK, United States
1998-01-01
Conference paper
No indication
English
Online identification and control of linearized aircraft dynamics
Tema Archive | 1992
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