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<p>Robustness is a key aspect of the verification and validation (V&amp;V) process in the attitude and orbit control system (AOCS) design. Considerable time is spent on this task, which can even surpass the time spent on the control design itself. To reduce the V&amp;V effort, it is vital to understand what drives the robustness of the design. This article presents an approach to identify design drivers for typical stability and performance requirements through the global sensitivity analysis (GSA). Drivers are identified by combining the GSA with uncertainty modeling through the linear fraction transform. The approach is compared with other commonly used sensitivity metrics within the AOCS domain. The main advantage of this sample-based method is its efficiency and generality for any kind of AOCS requirement. The approach is applied to a challenging AOCS control design based on the MetOp-SG SAT-B satellite with a large set of uncertainties. The proposed sensitivity analysis can complement existing robustness analyses and help reduce the overall V&amp;V effort.</p>

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Sample-based sensitivity analysis for uncertain AOCS verification and validation

  • 期刊论文

  • 发表日期：

    2025年7月18日

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  • Maurice Martin,
  • Stefan Winkler,
  • Frederik Belien,
  • Roger Förstner

摘要

Robustness is a key aspect of the verification and validation (V&V) process in the attitude and orbit control system (AOCS) design. Considerable time is spent on this task, which can even surpass the time spent on the control design itself. To reduce the V&V effort, it is vital to understand what drives the robustness of the design. This article presents an approach to identify design drivers for typical stability and performance requirements through the global sensitivity analysis (GSA). Drivers are identified by combining the GSA with uncertainty modeling through the linear fraction transform. The approach is compared with other commonly used sensitivity metrics within the AOCS domain. The main advantage of this sample-based method is its efficiency and generality for any kind of AOCS requirement. The approach is applied to a challenging AOCS control design based on the MetOp-SG SAT-B satellite with a large set of uncertainties. The proposed sensitivity analysis can complement existing robustness analyses and help reduce the overall V&V effort.