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The goal of this capstone spacecraft dynamics project is to employ the skills developed in the rigid body Kinematics, Kinetics and Control courses. An exciting two-spacecraft mission to Mars is considered where a primary mother craft is in communication with a daughter vehicle in another orbit. The challenges include determining the kinematics of the orbit frame and several desired reference frames, numerically simulating the attitude dynamics of the spacecraft in orbit, and implementing a feedback control that then drives different spacecraft body frames to a range of mission modes including sun pointing for power generation, nadir pointing for science gathering, mother spacecraft pointing for communication and data transfer. Finally, an integrated mission simulation is developed that implements these attitude modes and explores the resulting autonomous closed-loop performance. Tasks 1 and 2 use three-dimensional kinematics to create the mission related orbit simulation and the associated orbit frames. The introductory step ensures the satellite is undergoing the correct motion, and that the orbit frame orientation relative to the planet is being properly evaluated. Tasks 3 through 5 create the required attitude reference frame for the three attitude pointing modes called sun-pointing, nadir-pointing and GMO-pointing. The reference attitude frame is a critical component to ensure the feedback control drives the satellite to the desired orientation. The control employed remains the same for all three pointing modes, but the performance is different because different attitude reference frames are employed. Tasks 6 through 7 create simulation routines to first evaluate the attitude tracking error between a body-fixed frame and a particular reference frame of the current attitude mode. Next the inertial attitude dynamics is evaluated through a numerical simulation to be able to numerically analyze the control performance. Tasks 8-11 simulate the closed-loop attitude performance for the three attitude modes. Tasks 8 through 10 first simulate a single attitude at a time, while tasks 11 develops a comprehensive attitude mission simulation which considers the attitude modes switching autonomously as a function of the spacecraft location relative to the planet....
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1 - 4 von 4 Bewertungen für Spacecraft Dynamics Capstone: Mars Mission

von Jeff L

May 11, 2019

The good: - Amazing content. Great presentation. I think Professor Schaub is a good lecturer and presents the information well. The bad: There is no faculty (professor or TA) support. There are some discussions in the forums, but not a whole lot of direction. Also, with the course setup this way, peer review becomes very difficult, because there is no guarantee that there are enough peers to review (and be reviewed). There are also many typos in the quizzes so it's difficult to know if an answer is truly wrong. Finally, the simulation questions can be infuriating because the same codebase can work for one but not the other, and with no support, it's difficult to determine the issue. Still, the content is great and you learn a lot.

von Basel O

Jun 23, 2020

This course was really great! I could complete the previous three courses in 6 weeks, but this course took from me 3 weeks. I have faced some issues, however, I could overcome and succeed at the end and this is the most important part. I am really grateful for Coursera and professor Hanspeter Schaub for this opportunity. This great professor will be absolutely missed!.

von Samuel L

Aug 02, 2020

Great capstone that covers almost all of the desired knowledge one would need from the first to last chapter! Definitely enjoyed this project. The project is also well guided, although one may need to look at the forums now and then for hints and tips on nitty gritties like numerical precision issues etc. Thank you Professor HP Schaub and team.

von Sam W

Apr 02, 2020

Great tool for making sure I am on the right track each step of the project. It's nice to be able to submit a project with no uncertainty regarding the accuracy of my results. The 5 submissions per 8 hours feels a bit pointless though. They are all numerical submissions, so you can't power through by guessing and checking like the homeworks.