Corpus ID: 106721957

Developing Capture Mechanisms and High-Fidelity Dynamic Models for the MXER Tether System

@inproceedings{Canfield2007DevelopingCM,
  title={Developing Capture Mechanisms and High-Fidelity Dynamic Models for the MXER Tether System},
  author={S. Canfield},
  year={2007}
}
A team consisting of collaborators from Tennessee Technological University (TTU), Marshall Space Flight Center, BD Systems, and the University of Delaware (herein called the TTU team) conducted specific research and development activities in MXER tether systems during the base period of May 15, 2004 through September 30, 2006 under contract number NNM04AB13C. The team addressed two primary topics related to the MXER tether system: 1) Development of validated high-fidelity dynamic models of an… Expand
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References

SHOWING 1-10 OF 18 REFERENCES
Analysis and Design of Aerocapture Tether with Accounting for Stochastic Errors
TLDR
Design rules are developed to accommodate stochastic errors without violating the constraints, i.e., breaking or compressing the tether, subjecting the orbiter to atmospheric effects, crashing, or failing to capture. Expand
A Survey on the Dynamics and Control of Tethered Satellite Systems
TLDR
The rigid body dynamics and control of the tether, subsatellite and space platform are analyzed using the Linear Quadratic Regulator approach, suggesting the thruster-offset hybrid controller to be the most effective in damping given disturbances. Expand
Sensitivity analysis of bare-wire space tether systems
Hypergeometric series solutions are presented for the electrodynamic response of bare-wire tether systems, and are used to generate closed-form expressions for the sensitivity coefficients in theExpand
Stochastic iterative dynamic programming: a Monte Carlo approach to dual control
TLDR
A new stochastic dynamic programming algorithm is presented that uses a Monte Carlo approach to circumvent the need for numerical integration, thereby dramatically reducing computational requirements and is particularly well suited to solution of ODC problems. Expand
A Monte Carlo method for sensitivity analysis and parametric optimization of nonlinear stochastic systems: the ergodic case
For high-dimensional or nonlinear problems there are serious limitations on the power of available computational methods for the optimization or parametric optimization of stochastic systems ofExpand
On Monte Carlo simulations of dynamic systems
TLDR
The basics and utility of the Monte Carlo approach are addressed and two practical applications of the method help to demonstrate why Monte Carlo simulation is becoming a contemporary trend in system analysis. Expand
Equilibrium and natural frequencies of cable structures (a nonlinear finite element approach)
Abstract This paper concerns the finite element method as applied to cable structures. A family of nonlinear elements is developed. The class of elements developed retains all geometricExpand
Large deformation static and dynamic finite element analysis of extensible cables
Abstract Approximate numerical integration of the element total potential energy with polynomial interpolation of the displacements creates high order nonlinear, extensible, cable finite elements.Expand
Simulation and the Monte Carlo method
  • R. Rubinstein
  • Computer Science, Mathematics
  • Wiley series in probability and mathematical statistics
  • 1981
2005 “Stochastic Iterative Dynamic Programming: A Monte Carlo Approach
  • Dual Control,” Automatica,
  • 2005
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