Flight Dynamics with Tensors

Via Matrices to Efficient Computing

4.60 (79 reviews)
Udemy
platform
English
language
Engineering
category
instructor
Flight Dynamics with Tensors
749
students
6.5 hours
content
Mar 2021
last update
$69.99
regular price

What you will learn

Master the new approach to flight dynamics

Expose yourself to Cartesian tensors

Learn how to convert tensors into matrices

Express the equations of motion in matrices

Program the matrix equations in MATLAB or PYTHON

Why take this course?

Flight dynamics is undergoing a shift from vectors to tensors, taking advantage of the ever increasing computer power to design and analyze complex aerospace systems. The physics are modeled by tensors independent of coordinate systems. Then the tensors are converted to matrices by introducing coordinate systems and evaluated by one of the many matrix computer tools.

This course introduces the novice to tensor flight dynamics, requiring only basic skills in matrix algebra and differential equations. The fundamentals of tensor algebra are introduced by modeling geometrical relationships of expended boosters landing on barges with their related coordinate transformations. As time enters the study, the new rotational time derivative enables kinematics to be formulated independent of coordinate systems in a truly tensorial format, applied to pilots in centrifuges and attitude determination of aircraft. Point-mass trajectories, also called three-degrees-of freedom trajectories, are derived for rockets, hypersonic vehicles, UAVs; and full-up, six-degrees-of-freedom equations lead to the evaluation of the transient responses of missiles and aircraft in state-space format.

The course is supported by the text book “Introduction to Tensor Flight Dynamics”, published in 2020 by the instructor at Amazon. It provides more details on how to derive the equations of motion from Newton’s and Euler’s laws and features many problems derived from aerospace applications, some of them to be solved with MATLAB® or other matrix processors.

Screenshots

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Reviews

Joshua
January 23, 2023
So far so good. Instructor is clearly very knowledgeable about the subject matter. One point of criticism is the need to also buy the textbook.

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3923198
udemy ID
3/18/2021
course created date
7/2/2021
course indexed date
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