Full Capability Formation Flight Control

Osteroos, Ryan

doi:10.2514/6.2004-5333

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…For the applications of the formation flight, such as aerial refueling, the maximum of the error during the concerned time is more critical. Therefore, for the analysis of the simulation data magnitudes of the components of the maximum relative position error |e r | max , namely |e x | max , |e y | max , and |e z | max are used, for which the x-component is given in equation (7). The y and z components can be written in the same fashion.…”

Section: Simulation Conditions and Independent Variablesmentioning

confidence: 99%

“…Possible use of a flight in formation is the increase of efficiency due to drag reduction, 1 the concentration of firepower, 2 and specialized missions like aerial refueling. 3,4 As capabilities of unmanned aircraft increase, methods to fly automatically in formation have been extensively studied in the literature concerning flight control, [5][6][7][8][9][10][11] guidance, [12][13][14] and coordination of the vehicles. 15 In order to maintain the formation, the follower aircraft gathers certain information about the leader aircraft.…”

Section: Introductionmentioning

confidence: 99%

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Sensitivity Analysis of an Automated Formation Flight Based on GPS and Transmission Data Specifications

Kılıç

Meiboom

2015

AIAA Guidance, Navigation, and Control Conference

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An automated formation flight scenario with one leader and one follower aircraft is considered. In this context, a simulation-based sensitivity analysis is used to investigate how the position keeping performance of the automated formation flight is affected by the specifications of the leader aircraft's flight data that the follower aircraft gathers. The leader aircraft flight data specifications are determined by three parameters: Noise present in the leader flight data, time delay of the data by the time it is acquired by the follower aircraft, and the period at which the follower aircraft gathers the leader flight data. These three parameters are the independent variables of the sensitivity analysis and are varied among consecutive simulations. The sensitivity of the formation flight is assessed by the maximum absolute relative position error during 60 seconds of stable formation flight on a straight and level path. For the sensitivity analysis an example data gathering configuration is used, in which the GPS-based, time-stamped position and velocity measurements of the leader aircraft are sent to the follower through a wireless data link.

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Section: Simulation Conditions and Independent Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis of an Automated Formation Flight Based on GPS and Transmission Data Specifications

Kılıç

Meiboom

2015

AIAA Guidance, Navigation, and Control Conference

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“…The first category deals with formation keeping, i.e., how to maintain the geometry of a set of vehicles flying in formation in the presence of disturbances. Various methods have been proposed for this purpose such as using PID control [2,3], linear quadratic optimal control [4], robust nonlinear control [5], etc. The second category of study in formation flying involves formation reconfiguration, i.e., how to bring from one formation state to another.…”

Section: Introductionmentioning

confidence: 99%

A collision-free formation reconfiguration control approach for Unmanned Aerial Vehicles

Lie

2010

Int. J. Control Autom. Syst.

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Formation flying of Unmanned Aerial Vehicles (UAVs) has gained a lot of interest due to its many potential advantages. Flying in formation allows wider sensing coverage area and in effect, this leads to improved surveillance and enhanced situational awareness. Also flying in formation eases coordination and data fusion. This paper presents the control architecture for fixed-wing UAV reconfiguration control using a novel combination of known techniques. The current premise is for the UAVs to assume their final target states within a specified time interval while avoiding collisions with one another or with an obstacle during the process. Some simulations are performed to assess the performance of the reconfiguration control scheme. The effects of the control parameters on the reconfiguration trajectories are also examined.

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Online Cooperative Trajectory Planning for UCAV Formation in Uncertain Environment

et al. 2018

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This paper presents a local online planning method based on hp adaptive pseudospectral method to address the cooperative trajectory planning of UCAV formation in uncertain environment. First, through analyzing attacking process of UCAV formation, the cooperative trajectory planning model is built up by taking UCAV threat, task time and the number of collision and the error of ordered time as the object function. Second, in order to solve the online cooperative trajectory planning, according to real-time environment information and offline planning data, the local planning method based on hp adaptive pseudospectral method is proposed during optimizing time slice. Last but not least, the simulation results for offline and online cooperative trajectory show that the proposed method is valid and can provide cooperative trajectory with high precise control and state information.

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Full Capability Formation Flight Control

Cited by 6 publications

References 2 publications

Sensitivity Analysis of an Automated Formation Flight Based on GPS and Transmission Data Specifications

Sensitivity Analysis of an Automated Formation Flight Based on GPS and Transmission Data Specifications

A collision-free formation reconfiguration control approach for Unmanned Aerial Vehicles

Online Cooperative Trajectory Planning for UCAV Formation in Uncertain Environment

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