Autonomous and Integrated Guidance, Navigation and Control System for Fuel-Optimal Atmospheric Entry, Descent and Landing Maneuver
Date: Wed, September 27, 2017
Time: 4:30pm
Location: Holmes Hall 211
Speaker: Minji Jo, UHM ME PhD Candidate
Abstract:
In this presentation, an extremal EDL (Entry, Descent and Landing) trajectories for planetary lander will be introduced. Control objectives are to precise and safe landing and minimum fuel-consumption. To achieve this, the optimal control method with analytical solution is used with the Extended Kalman filter. The Extended Kalman filter is designed to estimate the 14-state including co-state (Lagrange multipliers) as well as basic 7-state which is consists of position, velocity and mass of lander. Also, the altimeter and the velocimeter are used for sensors. Finally, the simulation results will be shown by comparing between the 7-state and 14-state, also with forward and backward propagation, respectively.
Bio:
Minji Jo received the B.Sc. and M.Sc. degrees from the Department of Aerospace Engineering, Sejong University, Seoul, Republic of Korea, in 2011 and 2014, respectively. She worked as a graduate student researcher in the Flight Dynamics and Control Lab (FDCL) from 2011 to 2015. Currently, she is working as a PhD candidate for the Department of Mechanical Engineering in the University of Hawaii at Manoa and researching the Guidance, Navigation and Control (GNC) Lab.