Aerodynamic Coefficients for a Parafoil Wing with Arc Anhedral - Theoretical and Experimental Results

Jann, Thomas

doi:10.2514/6.2003-2106

Cited by 15 publications

(20 citation statements)

References 2 publications

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“…Later, these models accounted for the actuators which move the control lines. Jann also presented an approach for theoretical calculations of the aerodynamic coefficients based on the extended lifting theory and validated those using real flight test data on powered parafoil ALEX 10 .…”

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confidence: 95%

Multicriteria Parametrical Identification of the Parafoil-Load Delivery System

Yakimenko

Statnikov

2005

18th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar

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This paper addresses the problem of multicriteria (versus single-criterion) parametrical identification of the autonomously controlled cargo parafoil. Based on the structural identification as an initial step toward creation of an adequate model of the parafoil, a high-fidelity model including several dozens of optimization parameters has been developed. The present paper proposes the correct statement of the multicriteria parametrical identification problem including the necessity to investigate the feasible set of variable parameters. The paper advocates the use of the Parameter Space Investigation method and Multicriteria Optimization / Vector Identification software package to solve the problem.

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confidence: 95%

Multicriteria Parametrical Identification of the Parafoil-Load Delivery System

Yakimenko

Statnikov

2005

18th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar

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“…A number of efforts have applied aerodynamic parameter identification to airdrop systems [4][5][6][7][8][9][10][11]. Jann et al describe the development of a highly instrumented parafoil and payload research platform, ALEX, incorporating a Global Positioning System (GPS) receiver, magnetometers, rate gyros, accelerometers, air data probes, and video cameras to address the problem of generating enough data for system identification [4].…”

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confidence: 99%

“…Jann et al describe the development of a highly instrumented parafoil and payload research platform, ALEX, incorporating a Global Positioning System (GPS) receiver, magnetometers, rate gyros, accelerometers, air data probes, and video cameras to address the problem of generating enough data for system identification [4]. With this system, they performed an extensive investigation into the problem of aerodynamic parameter identification for parafoil and payload systems [5][6][7]. Their initial approach was to develop 3-and 4-degree-of-freedom (DOF) models (the extra DOF was added to account for significant bank angles).…”

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confidence: 99%

“…These models required a small number of coefficients to be identified and good results were obtained [5]. Efforts to identify the extra coefficients needed for a 6-DOF model were more difficult, and a creative approach to generating the coefficients by applying lifting line theory to an arc anhedral wing was used to generate initial estimates of all of the parameters as well as approximate relationships for correlated coefficients [6]. Finally, an 8-DOF model was developed incorporating the relative motion of the payload using the same approach [7].…”

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confidence: 99%

“…In this case, the system identification procedure described here could be used to develop an approximate model based on GPS alone which could then be refined with whatever additional sensor information is available. Depending on the available sensor data, this refinement could be performed using similar methods to the existing airdrop identification methods mentioned previously [4][5][6][7][8][9][10][11]. Another possibility is that the model made from GPS data using the proposed procedure could be simply augmented to capture unmodeled dynamics observed in the additional sensor channels using more general system identification techniques such as those recently developed by Majji et al [15,16].…”

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confidence: 99%

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Specialized System Identification for Parafoil and Payload Systems

Ward

Costello

Slegers

2012

Journal of Guidance, Control, and Dynamics

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There are a number of peculiar aspects to parafoil and payload systems that make it difficult to apply conventional system identification procedures used for aerospace systems. Parafoil and payload systems are unique because typically there is very little sensor information available, the sensors that are available are separated from the canopy by a complex network of flexible rigging, the systems are very sensitive to wind and turbulence, the systems exhibit a number of nonlinear behaviors, and the systems exhibit a high degree of variability from flight to flight. The current work describes a robust system identification procedure developed to address the specific difficulties posed by airdrop systems. By employing a two-phase approach that separately considers atmospheric winds estimation and aerodynamic coefficient estimation, a nonlinear, 6-degree-of-freedom dynamic simulation model is generated using only Global Positioning System data from the flight test. The key to this approach is the use of a simplified aerodynamic representation of the canopy, which requires identification of only the steady-state response to control input to completely define the dynamic model. The proposed procedure is demonstrated by creating a simulation model using Global Positioning System data from actual flight tests. To validate the procedure, the dynamic response of the simulation model is then compared to inertial measurement unit data that were not used in any way to develop the simulation model, with excellent results.

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Effects of characteristic geometric parameters on parafoil lift and drag

Cao

Zhu

2013

Aircraft Eng & Aerospace Tech

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PurposeThe purpose of this paper is to describe the effects of characteristic geometric parameters on parafoil aerodynamic performance by using computational fluid dynamics (CFD) technique.Design/methodology/approachThe main characteristic geometric parameters cover the planform geometry, arc‐anhedral angle, basic airfoil and leading‐edge cut. By using the CFD technique, a large number of numerical parafoil models with different geometric parameters are developed to study the correlations between these parameters and parafoil aerodynamic performance.FindingsThe CFD technique is feasible and effective to study the effects of characteristic geometric parameters on parafoil aerodynamic performance in three‐dimensional (3‐D) flowfield condition. The planform geometry can affect the aerodynamic performance obviously. An increase in arc‐anhedral angle decreases the lift of a parafoil but has little effect on lift‐drag ratio. The model with smaller leading‐edge radius and thinner thickness of parafoil section achieves larger lift‐drag ratio. The leading‐edge cut has little effect on lift but increase drag dramatically; meanwhile, its effect on flowfield is confined to the nearby region of leading edge.Practical implicationsThe presented 3‐D numerical simulation results of parafoil models are shown to have good agreement with the tunnel test data in general trend; meanwhile, considering its relatively low‐cost, the CFD method could be further used to predict coefficients in pre‐research or at non‐experimental conditions.Originality/valueThe paper can form the foundation of further studies on parafoil aerodynamic performance with different geometric parameters.

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Aerodynamic Coefficients for a Parafoil Wing with Arc Anhedral - Theoretical and Experimental Results

Cited by 15 publications

References 2 publications

Multicriteria Parametrical Identification of the Parafoil-Load Delivery System

Multicriteria Parametrical Identification of the Parafoil-Load Delivery System

Specialized System Identification for Parafoil and Payload Systems

Effects of characteristic geometric parameters on parafoil lift and drag

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