Precision Guided Airdrop System flight test results

Hattis, Philip D.; Appleby, B.D.; Fill, Thomas; Draper, C. S.; Benneyt, Richard

doi:10.2514/6.1997-1468

Cited by 12 publications

(13 citation statements)

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“…(19) This fact implies that at the horizontal projections of the commanded velocity vectors for segments 2 and 3 are equal and are independent of the choice of r.…”

Section: Real-time Trajectory Generationmentioning

confidence: 98%

“…[13][14][15][16][17][18][19][20][21][22] Most of them were tested in a simulation environment, some in flight test.…”

Section: Introductionmentioning

confidence: 99%

“…[17][18][19] This software was demonstrated using NASA Dryden Flight Research Center airdrop test article known as the "Wedge 3" which utilizes an 88sq.ft ram-air parafoil and carries a payload of 175lbs.…”

Section: Introductionmentioning

confidence: 99%

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Development of Control Algorithm for the Autonomous Gliding Delivery System

Kaminer

Yakimenko

2003

17th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar

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Abstract. The paper considers the development and simulation testing of the control algorithms for an autonomous high-glide aerial delivery system, which consists of 650sq.ft rectangular double-skin parafoil and 500lb payload. The paper applies optimal control analysis to the real-time trajectory generation. Resulting guidance and control system includes tracking this reference trajectory using a nonlinear tracking controller. The paper presents the description of the algorithm along with simulation results and ends with guidelines for the further implementation of the developed software aboard the real system.

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“…(19) This fact implies that at the horizontal projections of the commanded velocity vectors for segments 2 and 3 are equal and are independent of the choice of r.…”

Section: Real-time Trajectory Generationmentioning

confidence: 98%

“…[13][14][15][16][17][18][19][20][21][22] Most of them were tested in a simulation environment, some in flight test.…”

Section: Introductionmentioning

confidence: 99%

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Development of Control Algorithm for the Autonomous Gliding Delivery System

Kaminer

Yakimenko

2003

17th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar

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“…More detailed analysis reveals that GNC systems developed by Charles Stark Draper Laboratory, [20][21][22][23][24] Georgia Tech [29][30][31] and others implement simple proportional-integral-derivative (PID) controllers to track the reference heading, which is assigned based on a combination of some logics and heuristic rules. For the final stage of descent to the DZ some controllers use a moth mode, others attempted to utilize a precomputed landing trajectories data base.…”

Section: -34mentioning

confidence: 99%

“…So during the last decade, several GNC concepts for gliding parachute applications have been developed and published. [19][20][21][22][23][24][25][26][27][28][29][30][31] …”

mentioning

confidence: 99%

Optimal Control for Terminal Guidance of Autonomous Parafoils

Slegers

Yakimenko

2009

20th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar

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This paper deals with the development of guidance, navigation and control algorithms for a prototype of a miniature aerial delivery system capable of high-precision maneuvering and high touchdown accuracy. High accuracy enables use in precision troop resupply, sensor placement, urban warfare reconnaissance, and other similar operations. Specifically, this paper addresses the terminal phase, where uncertainties in winds cause most of the problems. The paper develops a six degree-offreedom model to adequately address dynamics and kinematics of the prototype delivery system and then reduces it to a two degrees-of-freedom model to develop a model predictive control algorithm for reference trajectory tracking during all stages. Reference trajectories are developed in the inertial coordinate frame associated with the target. The reference trajectory during terminal guidance, just prior to impact, is especially important to the final accuracy of the system. This paper explores an approach for generating reference trajectories based on the inverse dynamics in the virtual domain. The method results in efficient solution of a two-point boundary-value problem onboard the aerial delivery system allowing the trajectory to be generated at a high rate, mitigating effects of the unknown winds. This paper provides derivation of the guidance and control algorithms and present analysis through simulation.

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