Flight control for mixed amplitude commands

Buffington, James M.; Enns, Dale

doi:10.2514/6.1996-3834

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…Control allocation is a method that that is applied to distribute the control effort between several controllers when the number of actuators exceeds the number of controlled variables or when various actuators are in conflict with one another. There are a number of solutions available to solve this problem, such as, direct control allocation (Durham, 1994), daisy chainging (J. M. Buffington & Enns, 1996) or constrained linear programming(J. Buffington, Chandler, & Pachter, 1999;Svendsen et al, 2012).…”

Section: -5 Active Set Control Allocationmentioning

confidence: 99%

Continuous state and action Q-learning framework applied to quadrotor UAV control

Naruta

2019

AIAA Scitech 2019 Forum

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Section: -5 Active Set Control Allocationmentioning

confidence: 99%

Continuous state and action Q-learning framework applied to quadrotor UAV control

Naruta

2019

AIAA Scitech 2019 Forum

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“…The deflection and rate limits for the elevator and the thrust vectoring nozzle are FrC14.6 |δ e | ≤ 25 • , |δ e | ≤ 60 • /s, |δ ptv | ≤ 17 • , and |δ ptv | ≤ 60 • /s. The throttle δ th is also an input to the aircraft, but it primarily controls the aircraft trajectory other than attitude [15]. Since the throttle setting indirectly affects the states through the power output from the engine, the actual power level is also considered as a state variable in longitudinal dynamics.…”

Section: F-16 Aircraft Model Augmented With Thrust Vectoringmentioning

confidence: 99%

Switching-based fault-tolerant control for an F-16 aircraft with thrust vectoring

2009

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) Held Jointly With 2009 28th Chinese Control Conference

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Thrust vectoring technique enables aircraft to perform various maneuvers not available to conventional-engined planes. This paper presents an application of switching control concepts to fault-tolerant control design for an F-16 aircraft model augmented with thrust vectoring. Two controllers are synthesized using a switching logic, and they are switched on a fault parameter. During normal flight conditions, the F-16 aircraft relies on no vectored thrust and the elevator. The thrust vectoring nozzle is only turned on in the presence of elevator failures. Two elevator fault scenarios, lock and loss of effectiveness, are considered. Nonlinear simulation results show that the switching control can guarantee the stability and performance of the faulted system.

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“…A controller is designed first based on the generalized control, and the real control inputs are then generated using a control selector. [1][2][3][4] It has not been clearly addressed on how to develop the control law with guaranteed stability and performance by considering the aerodynamic force and thrust force in a unified frame.…”

Section: Introductionmentioning

confidence: 99%

Switching LPV Control for a High Performance Tactical Aircraft

Kim

2004

AIAA Guidance, Navigation, and Control Conference and Exhibit

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This paper examines a switching LPV control approach to determine if it is practical to use for flight control designs within a wide angle of attack region. The approach is based on multiple parameter-dependent Lyapunov functions. The full parameter space is partitioned into overlapping subspaces and a family of LPV controllers are designed, each suitable for a specific parameter subspace. The hysteresis switching logic is used to accomplish the transition among different parameter subspaces. The proposed switching LPV control scheme is applied to an F-16 aircraft model with different actuator dynamics in low and high angle of attack regions. The nonlinear simulation results show that the aircraft performs well when switching among different angle of attack regions.

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Flight control for mixed amplitude commands

Cited by 3 publications

References 9 publications

Continuous state and action Q-learning framework applied to quadrotor UAV control

Continuous state and action Q-learning framework applied to quadrotor UAV control

Switching-based fault-tolerant control for an F-16 aircraft with thrust vectoring

Switching LPV Control for a High Performance Tactical Aircraft

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