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"NASA Technical Reports Server (NTRS) 20150005708: Robust Stability Analysis Of The Space Launch System Control Design: A Singular Value Approach" and the language of the book is English.


“NASA Technical Reports Server (NTRS) 20150005708: Robust Stability Analysis Of The Space Launch System Control Design: A Singular Value Approach” Metadata:

  • Title: ➤  NASA Technical Reports Server (NTRS) 20150005708: Robust Stability Analysis Of The Space Launch System Control Design: A Singular Value Approach
  • Author: ➤  
  • Language: English

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  • Internet Archive ID: NASA_NTRS_Archive_20150005708

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"NASA Technical Reports Server (NTRS) 20150005708: Robust Stability Analysis Of The Space Launch System Control Design: A Singular Value Approach" Description:

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Classical stability analysis consists of breaking the feedback loops one at a time and determining separately how much gain or phase variations would destabilize the stable nominal feedback system. For typical launch vehicle control design, classical control techniques are generally employed. In addition to stability margins, frequency domain Monte Carlo methods are used to evaluate the robustness of the design. However, such techniques were developed for Single-Input-Single-Output (SISO) systems and do not take into consideration the off-diagonal terms in the transfer function matrix of Multi-Input-Multi-Output (MIMO) systems. Robust stability analysis techniques such as H(sub infinity) and mu are applicable to MIMO systems but have not been adopted as standard practices within the launch vehicle controls community. This paper took advantage of a simple singular-value-based MIMO stability margin evaluation method based on work done by Mukhopadhyay and Newsom and applied it to the SLS high-fidelity dynamics model. The method computes a simultaneous multi-loop gain and phase margin that could be related back to classical margins. The results presented in this paper suggest that for the SLS system, traditional SISO stability margins are similar to the MIMO margins. This additional level of verification provides confidence in the robustness of the control design.

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