Robotic servicing of satellites could soon enable many new capabilities in space. Robotic servicing vehicles (servicers) would have the ability to visit multiple clients in geosynchronous Earth orbit (GEO) and perform a variety of functions, including on-orbit inspection, repositioning, end-of-life transport to disposal orbit, and deployment anomaly correction. Efficient propulsion systems and versatile robotic components would allow a single servicer to perform several servicing operations in one mission. To date, the problem of how to design multi-client servicing missions, including selecting customer satellites and mission trajectories, is largely unexplored. This project focuses on trajectory optimization strategies for robotic satellite servicing.
Sponsor: Ford Motor Co.
This research aims to improve vehicle fuel economy within drivability and performance constraints through real-time, robust, optimal shift scheduling and lock-up scheduling. We are developing optimal control algorithms for advanced automatic transmissions coupled with downsized gasoline turbocharged direct injection (GTDI) engines.
This research focused on development of a detailed attitude and trajectory control strategy for CubeSat orbit change maneuvers using ion propulsion. This project was a collaborative effort between Dr. Hudson's and Dr. Lemmer's research groups at WMU and a partner team at Jet Propulsion Laboratory.