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There is one session available:
Machine Dynamics with MATLAB
About this courseSkip About this course
This course will introduce you to a broad range of methodologies used in the field of machine dynamics. You will learn how to model a vehicle using the fundamentals of mechanics. You will get a deep understanding of the equations of motion and how to solve them using powerful MathWorks tools. Eventually, you will gain the ability to analyze and interpret the computational results in order to optimize your design.
To get the most out of your time the course is subdivided into five weeks, each consists of lectures, tutorials and exercises. During lectures, you will get all the theoretical background of machine dynamics. Tutorials will teach you the basics of MathWorks products and exercises will merge your theoretical knowledge with the practical use of the software into an exciting application.
You will learn how to model a vehicle by a one and a two degree of freedom system. These systems could be base excited, force excited or not excited, they could be damped or undamped and their mathematical representation could be solved analytically, by state space representation or by solving the differential equation itself.
Therefore, if you ever wondered how to design a vehicle suspension using MathWorks tools, we highly recommend you attend to this course.
At a glance
What you'll learnSkip What you'll learn
- Basic and advanced MATLAB skills
- Define a sensible modelling depth
- Derive equations of motion for different models
- Solve the equations of motion using different approaches
- Presentation of results using animations
Week1: Basics of oscillation
Definition of important parameters of an oscillation. Introduction to the methods of
modelling and discussion about modelling depth. Derivation of an equation of motion of a
translational one degree of freedom system.
Week2: Discrete systems with one degree of freedom and its eigen behavior
Analytical solution of an equation of motion and animation of the results. Analysis of
three typical cases of eigen behavior. Introduction to state space representation and
numerical solution of an equation of motion. Getting started with Simulink.
Week3: Discrete systems with one degree of freedom with forced excitation
Description of different types of excitation. Derivation and solution of an equation of
motion with frequency dependent force excitation and frequency independent force
excitation, respectively. Extension of the model to base excitation and explanation and
development of effective vibration insulation.
Week4: Discrete systems with multiple degrees of freedom and its eigen behavior
Derivation of a system of equations of motion which describes vertical dynamics and
pitch motion. Analytical solution of this system and discussion of the homogeneous
solution. Analyzes of three typical cases of motion.
Week5: Discrete systems with multiple degrees of freedom and its eigen behavior
and with forced excitation
Transfer of equations into state space representation and into a Simulink model.
Application of frequency independent and frequency dependent force excitation to the
system of equations of motion. Adaption of the model to base excitation. Development of
a vibration absorber.
Week6: Discrete systems with multiple degrees of freedom with forced excitation
Adaption of the model to base
Learner testimonialsSkip Learner testimonials
"One of the best course on the internet for the ones who are seeking interweaving between Mechanics, Computer Science and real world problems." - Previous Learner
"Very interesting as it provides two learning paths: one for the design of automobile suspension systems and the other path to powerful MATLAB computing and programming language. I recommend this course to everyone seeking to enhance their skills in model based system design using MATLAB." - Previous Learner