Flight Behaviors of a Complex Projectile using a Coupled CFD-based Simulation Technique: Closed-loop Control

This paper describes a study to understand the pitch, roll, and roll-pitch-yaw behavior of a canard-controlled, fin-stabilized projectile. Numerical computations were performed for this projectile for open-loop control maneuvers using an advanced coupled computational fluid dynamics and rigid body dynamics technique. For canard control cases, the coupled approach automatically takes into account the canard flow interactions with the rear fins. Aerodynamic models including the roll and pitch/yaw interaction moments were proposed. Numerical results from the coupled method were used in parameter estimation algorithms to validate these aerodynamic models and quantify the aerodynamic coefficients for lower angles of attack. Flow separation and time-dependent phenomena detected in the coupled computations at higher angles of attack are discussed. The underlying flight behaviors encountered in pure pitch and pure roll primarily explain the motions in the full roll-pitchyaw flight. The results obtained from these techniques permit high-fidelity assessment of the maneuvering flight performance and supply aerodynamic information critical to flight control design.

[1]  D. B. Kirk,et al.  A Method for Extracting Aerodynamic Coefficients from Free-Flight Data , 1969 .

[2]  S. Chakravarthy,et al.  A Wall-Distance-Free k-ε Model With Enhanced Near-Wall Treatment , 1998 .

[3]  Jubaraj Sahu,et al.  VIRTUAL FLY-OUT SIMULATIONS OF A SPINNING PROJECTILE FROM SUBSONIC TO SUPERSONIC SPEEDS , 2011 .

[4]  Jubaraj Sahu,et al.  NUMERICAL COMPUTATIONS OF DYNAMIC DERIVATIVES OF A FINNED PROJECTILE USING A TIME- ACCURATE CFD METHOD , 2007 .

[5]  Frank Fresconi,et al.  Aeromechanics and Control of Projectile Roll Using Coupled Simulation Techniques , 2015 .

[6]  Sukumar Chakravarthy,et al.  A 'grid-transparent' methodology for CFD , 1997 .

[7]  Sukumar Chakravarthy,et al.  Convergence acceleration for unified-grid formulation using preconditioned implicit relaxation , 1998 .

[8]  W. Mermagen,et al.  A method for obtaining aerodynamic coefficients from yawsonde and radar data , 1972 .

[9]  Sidra I. Silton,et al.  Navier-Stokes Computations for a Spinning Projectile from Subsonic to Supersonic Speeds , 2002 .

[10]  Jubaraj Sahu,et al.  Computations of Unsteady Aerodynamics of a Spinning Body at Transonic Speeds , 2009 .

[11]  Jubaraj Sahu,et al.  Time-Accurate Numerical Prediction of Free-Flight Aerodynamics of a Finned Projectile , 2005 .

[12]  M. Costello,et al.  Using computational fluid dynamic/rigid body dynamic results to generate aerodynamic models for projectile flight simulation , 2008 .

[13]  J. Sahu,et al.  Flight Behaviors of a Complex Projectile using a Coupled CFD-based Simulation Technique: Free Motion , 2015 .

[14]  Jubaraj Sahu,et al.  TIME-ACCURATE COMPUTATIONS FOR RAPID GENERATION OF MISSILE AERODYNAMICS , 2010 .

[15]  Jubaraj Sahu,et al.  Unsteady Free-Flight Aerodynamics of a Spinning Projectile at a High Transonic Speed , 2008 .

[16]  Jubaraj Sahu,et al.  TIME-ACCURATE COMPUTATIONS OF FREE-FLIGHT AERODYNAMICS OF A SPINNING PROJECTILE WITH AND WITHOUT FLOW CONTROL , 2006 .

[17]  Kevin Massey,et al.  Optimized Guidance of a Supersonic Projectile using Pin Based Actuators , 2005 .

[18]  Jubaraj Sahu,et al.  UNSTEADY AERODYNAMIC SIMULATIONS OF A CANARD-CONTROLLED PROJECTILE AT LOW TRANSONIC SPEEDS , 2011 .

[19]  J. L. Steger,et al.  A chimera grid scheme , 2011 .

[20]  J. Sahu,et al.  Unsteady CFD modeling of micro-adaptive flow control for an axisymmetric body , 2006 .

[21]  James DeSpirito,et al.  Lateral Jet Interaction on a Finned Projectile in Supersonic Flow , 2012 .

[22]  A. Glezer,et al.  The formation and evolution of synthetic jets , 1998 .