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Jeb S Orr

Publications and source records attributed to Jeb S Orr.

Simulation-Based Analysis and Prediction of Thrust Vector Servoelastic Coupling

A method of analysis and prediction of servoelastic coupling in launch vehicles is presented, surveying the discovery and subsequent resolution of a predicted servoelastic resonance phenomenon affecting the NASA Space Launch System launch vehicle at specific flight conditions. A physics-based linearized multibody mechanization of the governing equations is combined with first principles analysis to demonstrate that antisymmetric bending of the solid rocket motors leads to a reduction of equivalent viscous modal damping through coupling with the thrust vector control actuators. The sensitivity to parameters and the effects of the resonance phenomenon on flight control performance and stability are confirmed through extensive simulation verification in the time and frequency domain. A novel enhancement in model fidelity that accounts for Coriolis effects of fluid flow on bending within the solid rocket motor case and nozzle is shown to add sufficient damping to reduce the risk of adverse control-structure interaction.

Jeb S Orr↗

The Enduring Legacy of Saturn V Launch Vehicle Flight Dynamics and Control Design Principles and Practices

It has been over 50 years since the first launch of the Saturn V launch vehicle, Apollo 4, on November 9th,1967. Developed at NASA’s Marshall Space Flight Center (MSFC) in Huntsville, Alabama, the Saturn V was a massive multistage liquid-fuel expendable rocket used by NASA’s Apollo and Skylab programs. It safely flew 24 American astronauts to the Moon, blazing the trail for all American heavy-lift launch vehicles to follow. The Saturn V remains the only launch vehicle to carry humans beyond low Earth orbit. Nearly fifty years after the final May 1973 flight of the Saturn V, an enduring technical legacy of launch vehicle technologies still supports the United States space launch capabilities, particularly with respect to flight dynamics and control. The structured refinement of GN&C technologies during the Saturn program, leveraging the incremental advancements of the Jupiter, Redstone, and Saturn I/IB, systematically reduced risk and resulted in the most advanced and reliable launch vehicle flight control systems to have been developed before the advent of the Space Shuttle.

Jeb S Orr↗

A Modern Load Relief Guidance Scheme for Space Launch Vehicles

Launch vehicle load relief algorithms are concerned with realizing a reduction of transient bending moments near maximum dynamic pressure. Traditional approaches to load relief typically use inner-loop acceleration feedback to reduce the wind-induced angle of attack. When implemented in the inner loop, load relief bandwidth is necessarily limited by the achievable stability margins, and when acceleration feedback is employed, by the uncertainty associated with structural modes that couple with the body-mounted accelerometer. The structure of inner loop load relief increases the dimensionality of the flight control gain and filter optimization problem. Most importantly, classical load relief laws do not take advantage of high-rate and high-accuracy GPS-aided inertial velocity data that is readily available from modern strap down IMUs. In this paper, a novel load relief guidance scheme is described that uses direct angle-of-attack feedback in a clever mechanization. The steering commands are determined by examining the wind-perturbed dynamics of a launch vehicle with respect to a gravity turn ascent trajectory. An angle of attack estimate is derived from GPS-aided inertial data and pre-launch range wind measurements, and it is shown that a reduction worst-case rigid-body loads can be realized without requiring air data. The algorithm also includes a high-rate navigation data preprocessing scheme that operates directly on the IMU delta-theta and delta-velocity measurements in order to produce a filtered acceleration estimate at the vehicle center of mass. The outer-loop guidance scheme simplifies the design process for the classical inner-loop autopilot. Algorithm performance is demonstrated using Monte Carlo analysis of a representative liquid booster in a production high fidelity launch vehicle simulation.

NESC↗