Probabilistische Methoden
The spacecraft model that is used during the design process of an Attitude and Orbit Control System (AOCS) is usually subject to defined uncertainties, which affect the performance or robustness of the control loop. Those uncertainties describe known deviations between model and real system or varying parameters. During the design, it must be confirmed that the system fulfills all requirements for all values of the uncertainties. Common probabilistic or worst-case approaches are computationally expensive. The verification and validation (V&V) costs make up 30-60% of the total expenses of the AOCS. Therefore, the goal of the research is the development of more efficient methods for the verification of attitude control systems, which can accelerate the process and reduce costs.
Selected Publications
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M. Lötzsch, E. Burgin, M. Martin, S.Winkler, H. Pfifer: Probabilistic Robustness Analysis of Satellite Attitude Control Using Polynomial Chaos at EuroGNC2026 (FIS)
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M Izquierdo Serra, M Martin, S Delchambre, S Winkler, H. Pfifer: Probabilistic Robustness Analysis of Drag-Free Attitude Control System Using Polynomial Chaos
Journal of Guidance, Control, and Dynamics, 2026