I know it's been awhile since I posted anything, but I thought I'd keep this entry short in the interest of humility.
Video 1: For those of you who don't have the time or patience to read through my last two blog entries, this video will serve as a short (10 minute) summmary of the content that follows in the blog. IntroductionHowdy Again All, So in my last blog, I discussed the process of modeling and analyzing the attitude dynamics of a rigid, orbital spacecraft via a linearized approximation model. At the end of that blog I remarked on the necessity of modeling the entire spacecraft properly, in a nonlinear fashion. Well, that modeling and analysis is what I hope to discuss in this blog. Essentially, I will be modeling the same spacecraft, with the same moment input at approximately 15 seconds in time while utilizing the three nonlinear equations of motion of our spacecraft. If this sounds interesting to you, or if you just want to numb your brain with some abstract mathematical goodness, feel free to read on. Introduction Howdy Everyone,
This particular blog entry is going to be a throwback to some of the control systems work I did in my college days. Essentially, control systems engineering involves the design and analysis of the motion of a given system, in this case, an idealized rigid spacecraft. For any given system, or body, there is a set of equations of motion that can describe that system. Usually this involves things like translational velocity, angular velocity, translational accelerations, angular accelerations, and so on. Once the equations of motion of a body are understood, the state of the body, meaning the attitude and motion of it, can be controlled via commands to controlling devices. The process of studying these equations of motion, simulating them, and employing those simulations to develop computer code and hardware specifications is known as control systems engineering. |
WriterA Cowboy with an Engineering Degree. Catacombs
August 2022
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