Constrained Quaternion Attitude Control of Satellites via \\Semi‑Definite Programming

dc.contributor.advisorMesbahi, Mehran
dc.contributor.authorKashyap, Shavy
dc.date.accessioned2025-10-02T16:03:33Z
dc.date.available2025-10-02T16:03:33Z
dc.date.issued2025-10-02
dc.date.submitted2025
dc.descriptionThesis (Master's)--University of Washington, 2025
dc.description.abstractSpacecraft attitude control is critical for mission success in communication, navigation, and payload safety, requiring maneuvers that respect complex geometric and hardware constraints. Classical quaternion-based PD/PID controllers provide robust unconstrained attitude regulation but lack systematic enforcement of constraints such as sun-avoidance zones and actuator saturation limits. This thesis presents a hybrid control framework that leverages semi-definite programming (SDP) to generate constraint-compliant, globally optimal attitude trajectories offline, integrating keep-in/out cones and actuator bounds via linear matrix inequalities (LMIs). A quaternion-feedback PD regulator then robustly tracks these trajectories in real time, enabling efficient onboard implementation. MATLAB and Simulink simulations demonstrate that the proposed SDP-guided control outperforms classical PD/PID methods by rigorously respecting all constraints and improving maneuver safety and accuracy. The results suggest strong potential for future small-satellite missions requiring high-performance constrained attitude control.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherKashyap_washington_0250O_28802.pdf
dc.identifier.urihttps://hdl.handle.net/1773/53892
dc.language.isoen_US
dc.rightsCC BY
dc.subjectConvex Optimization
dc.subjectLinear Matrix Inequalities (LMIs)
dc.subjectQuaternions
dc.subjectSemi-Definite Programming
dc.subjectSpacecraft Attitude Control
dc.subjectTrajectory Optimization
dc.subjectAerospace engineering
dc.subjectEngineering
dc.subject.otherAeronautics and astronautics
dc.titleConstrained Quaternion Attitude Control of Satellites via \\Semi‑Definite Programming
dc.typeThesis

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