EdX

Modeling and Simulation of Multibody Systems - Part II (edX)

Modeling and Simulation of Multibody Systems - Part II (edX)

90% of daily life multibody systems contain loops of bodies, e.g. vehicle or bike suspensions, parallel manipulators or robots, and musculoskeletal systems. They can also include joint constraints. In this second course about multibody systems, learn how to model them and how to deal with more advanced numerical analyses.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

This course aims at acquainting you with the modeling and simulation of constrained multibody systems, and especially mechanical systems with kinematic loops, such as real vehicle or bicycle suspensions, parallel manipulators or robots, musculoskeletal systems, etc.
You will also learn to deal with more advanced numerical analyses:
• Direct kinematics;
• Inverse kinematics;
• Equilibrium;
• Modal analysis;
• Direct Dynamics;
• Inverse Dynamics.
This course is based on (1) video clips focusing on the main theoretical background and concepts, (2) well-illustrated written sections given more details about the mathematical formulation, and (3) questions, exercises and modeling projects.
Despite the intrinsic complexity of such systems in terms of morphology and motions, basic skills in Newtonian mechanics, linear algebra and numerical methods are sufficient to model them, provided that the endless and tedious computation related to their internal kinematics and dynamics are at our disposal. This is the purpose of the symbolic program ROBOTRAN, which can be used with this course and can automatically generate the full set of equations of motion of a constrained MBS, in a symbolic manner, i.e. exactly as if you were writing them by hand, whatever the size and their morphological complexity of the application. Hence, this course will instead teach you how to intervene upstream and downstream this generation step.
Upstream the latter, you will learn how to translate a real system, e.g. a car suspension, into a virtual multibody model comprising algebraic constraints between joints, kinematic loops, etc.
Downstream the symbolic generation, your intervention will consist in:
• Completing the symbolic model with features that are specific for your system, e.g. a tire force model or the tuning of a motion controller, among other things;
• Selecting and implementing under the form of a program (in Python, Matlab, or C) the suitable numerical method to solve the differential equations of motion, given the original question; (1) an equilibrium solution can give you the static forces and the system deflection, (2) a time simulation can compute any transient motion of the system submitted to forces and torques, (3) a modal analysis will provide you with the eigenmodes that inform you about the system stability and damping characteristics, (4) an inverse dynamics study can provide you with the necessary forces and torques for any prescribed motion of the system, (5) etc.
• Selecting the most suitable results, including self-explanatory - and sometimes funny - video animations of your multibody system in motion.
In sum, this course, based on the use of the ROBOTRAN symbolic generator, will allow you to focus on the most interesting aspects of the multibody modeling process, by entirely mastering your computer model from the input data to the results, instead of using a black-box multibody program that clearly goes against the educational objective of such a course.
Enjoy Multibody Dynamics!
Note: The course was built to teach modeling and simulation of multibody systems, and not to teach any specific software. However, we suggest that you use the symbolic ROBOTRAN program to model and study the various multibody systems proposed in this course.
This course is part of the Modeling and Simulation of Multibody Systems Professional Certificate.

What you'll learn
In this course devoted to constrained multibody systems, you will learn how to:
• translate a real constrained mechanical system in the light of the issue to solve, into a multibody model;
• complete your model with features and sub-models that are specific to your application;
• build and master a program (in Python, Matlab or C) to select the appropriate numerical analysis, simulate the system and produce the expected results.

Prerequisites:
Part 1: MOOC in “Modeling and simulation of multibody systems – Part I” (Louv25X.1x); or equivalent

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

A Hands-on Introduction to Engineering Simulations (edX) EdX
CornellX,Cornell University

A Hands-on Introduction to Engineering Simulations (edX)

Learn how to analyze real-world engineering problems using ANSYS simulation software and gain important professional skills sought by employers. In this hands-on course, you’ll learn how to perform engineering simulations using a powerful tool from ANSYS, Inc. This is a problem-based course where you’ll learn by doing. The focus will be on understanding what’s under the blackbox so as to move beyond garbage-in, garbage-out. You’ll practice using a common solution approach to problems involving different physics: structural mechanics, fluid dynamics and heat transfer.

Self Paced
Self-Paced
Fundamentos de Mecánica para Ingeniería (edX) EdX
Universitat Politècnica de València,UPValenciaX

Fundamentos de Mecánica para Ingeniería (edX)

Estudiaremos la cinemática y la dinámica del punto, los conceptos de trabajo y potencia y la energía mecánica. Se aborda el estudio del universo físico analizando objetos en movimiento. Se definen y analizan todas las magnitudes y leyes físicas que permiten describir geométrica y causalmente el movimiento de cuerpos representados por un punto.

Self Paced
Self-Paced
Fundamentos de la obtención, estructura y modificación de materiales poliméricos (edX) EdX
Universitat Politècnica de València,UPValenciaX

Fundamentos de la obtención, estructura y modificación de materiales poliméricos (edX)

Aprende sobre la gran versatilidad de los polímeros en aplicaciones cotidianas así como también en sectores altamente tecnológicos como la aeronáutica, los deportes de competición y el sector médico. Los materiales poliméricos, se consideran materiales con un gran potencial de uso en el ámbito de la ingeniería. Actualmente, los polímeros se han convertido en materiales fundamentales en nuestra cultura y vida cotidiana, ya que los podemos encontrar en todo tipo de productos como ropa, automóviles, juguetes, etc.

Self Paced
Self-Paced
Water and Wastewater Treatment Engineering: Biochemical Technology (edX) EdX
Tsinghua University,TsinghuaX

Water and Wastewater Treatment Engineering: Biochemical Technology (edX)

Learn the basic principles and characteristics of biochemical technology in water and wastewater treatment engineering. Biochemical technology in water and wastewater treatment engineering is essential in the field of water treatment. In this environmental studies course you will learn the basic principles and characteristics of biochemical technology.

Self Paced
Self-Paced
A System View of Communications: From Signals to Packets (Part 3) (edX) EdX
The Hong Kong University of Science and Technology - HKUST,HKUSTx

A System View of Communications: From Signals to Packets (Part 3) (edX)

Explore the tradeoffs in designing communication systems like mobile phones, and the engineering tools to handle them. Have you ever wondered how information is transmitted using your mobile phone or a WiFi hotspot? Gain an understanding of the basic engineering tools used and tradeoffs encountered in the design of these communication systems.

Self Paced
Self-Paced
Introduction to Discrete Choice Models (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Introduction to Discrete Choice Models (edX)

The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling. Human behavior is complexand unpredictable. Or is it? The focus of this course is methods for predicting the behavior using mathematical models. More specifically, we'll explore choice modeling in order to obtain disaggregate demand models.

Self Paced
Self-Paced
Forensic Engineering: Learning from Failures (edX) EdX
Delft University of Technology,DelftX

Forensic Engineering: Learning from Failures (edX)

Don’t let good failures go to waste! Identify the causes of failure and use this knowledge to enhance safety and improve performance. What do collapsed buildings, infected hospital patients, and crashed airplanes have in common? If you know the causes of these events and conditions, they can all be prevented. In this course, you will learn how to use the TU Delft mind-set to investigate the causes of such events so you can prevent them in the future.

Self Paced
Self-Paced
A System View of Communications: From Signals to Packets (Part 2) (edX) EdX
The Hong Kong University of Science and Technology - HKUST,HKUSTx

A System View of Communications: From Signals to Packets (Part 2) (edX)

Explore the tradeoffs in designing communication systems like mobile phones, and the engineering tools to handle them. Have you ever wondered how information is transmitted using your mobile phone or a WiFi hotspot? This introductory course seeks to enable you to understand the basic engineering tools used and tradeoffs encountered in the design of these communication systems.

Self Paced
Self-Paced
Caer o No caer. El secreto de las estructuras (edX) EdX
Universidad Carlos III de Madrid - UC3M,UC3Mx

Caer o No caer. El secreto de las estructuras (edX)

Las estructuras están presentes en todos los sistemas que nos rodean. Descubrirlas y comprender cómo funcionan es sencillo y fascinante. Las estructuras están implicadas en nuestras vidas: las plantas, los animales, casi todo lo que fabrica el ser humano, incluso nuestro propio cuerpo, deben soportar una serie de fuerzas sin romperse, y por lo tanto prácticamente cualquier elemento de nuestro entorno es una estructura de una clase u otra.

Self Paced
Self-Paced
Decision-Making for Autonomous Systems (edX) EdX
Chalmers University of Technology,ChalmersX

Decision-Making for Autonomous Systems (edX)

Learn effective tactics for making key decisions when working with autonomous, self-driving vehicles. In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems.

Self Paced
Self-Paced