The development of control laws for maneuvering flight, specifically,
a high-amplitude velocity-vector roll, is addressed. The plant model h
as seventh-order nonlinear dynamics with coupled pitch and lateral dir
ectional dynamics. Using time scale separation and pointwise lineariza
tion about nonequilibria trajectories, a receding horizon linear quadr
atic optimal control law with full state feedback is synthesized on-li
ne. Also on-line, the pilot inputs are modified using linear programmi
ng to prevent actuator rate saturation over the optimization horizon.
The nonlinear control law performance is demonstrated in a fighter air
craft simulation with a rudder failure during a loaded roll maneuver.
The performance of the controller during aggressive pitch and yaw mane
uvers is also demonstrated The work described in this paper is confine
d to model-based receding horizon optimal control law synthesis; one w
ill rely on on-line system identification to provide the failed aerody
namic stability and control derivatives, thus achieving indirect adapt
ive control.