Marcus J. Holzinger

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Recent on-orbit mission performance illustrates a pressing need to develop passively safe formation flight trajectories and controllers for multiple satellite proximity operations. A Receding Horizon Control (RHC) approach is formulated that directly relates navigation uncertainty and process noise to non-convex quadratic constraints, which enforce passive(More)
The paper describes two approaches to improving on-board robustness of spacecraft relative motion guidance and control. The first approach is based on Model Predictive Control (MPC), and this paper demonstrates its capability for robust trajectory execution by changing the environment with a sudden obstacle appearing along its path. The second, novel(More)
Recent advances in robotics and computer vision have enabled the implementation of sophisticated vision-based relative navigation algorithms for robotic spacecraft using a single calibrated monocular camera. These techniques, initially developed for ground robots, show great promise for robotic spacecraft applications. However, several challenges still(More)
Computational savings in reachability set subspace computation are realized by carefully applying transversality conditions to trajectory samplings of the full reachability set. Differential constraints on the initial state and initial constraint Lagrange multiplier are developed that enforce the necessary conditions of optimality as total trajectory(More)
Changes in the orbit of a space-based object are a characteristic of a maneuver having occurred or of mismodeling of the state dynamics. This paper focuses on the former hypothesis to evaluate what constraints and inferences can be made on the actions of a vehicle given minimal information on its change in state. Such information can generally be used to(More)
Object correlation and maneuver detection are persistent problems in space surveillance and space object catalog maintenance. This paper demonstrates the utility of using quadratic trajectory control cost, an analog to the trajectory L2-norm in control, as a distance metric with which to both correlate object tracks and detect maneuvers using Uncorrelated(More)
The problem of estimating attitude for actively maneuvering or passively rotating Space Objects (SOs) with unknown mass properties / external torques and uncertain shape models is addressed. To account for agile SO maneuvers, angular rates are simply assumed to be random inputs (e.g., process noise), and model uncertainty is accounted for in a bias state(More)
The track assignment problem in applications with large gaps in tracking measurements and uncertain boundary conditions is addressed as a Two Point Boundary Value Problem (TPBVP) using Hamiltonian formalisms. An L2-norm analog Linear Quadratic Regulator (LQR) performance function metric is used to measure the trajectory cost, which may be interpreted as a(More)
Magnetometer-based detection and characterization of space objects is motivated and challenges are discussed. Observable constants of motion with and without charge screening are derived in detail. Batch filtering methods are proposed to estimate the observable space object states. A novel application of orbit and detection constraints is used to generate(More)