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

Data Science: Inference and Modeling (edX) EdX
HarvardX,Harvard University

Data Science: Inference and Modeling (edX)

Learn inference and modeling, two of the most widely used statistical tools in data analysis. Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating case study on election forecasting.

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
Engineering Drawing | 工程制图 (edX) EdX
Tsinghua University,TsinghuaX

Engineering Drawing | 工程制图 (edX)

“Engineering Drawing” is a fundamental course of engineering technology, including two parts: basic theories and advanced practices. The first part will introduce the theory of projection and its application on drawings. The second part is to give students general experience in producing a variety of mechanical drawings.

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
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
Advanced Transport Phenomena (edX) EdX
Delft University of Technology,DelftX

Advanced Transport Phenomena (edX)

Learn how to tackle complex mass and heat transfer problems and apply the results in your own environment. How can you reduce the energy loss of your home? What is the underlying science of energy loss in pipes? Which heat and mass transfer problems do we have to tackle to make consumer products? In this engineering course, you will learn about the engineering principles that play an important role in all of these and more phenomena. You will learn about microbalances, radiation, convection, diffusion and more and their applications in everyday life.

Self Paced
Self-Paced
Aplicaciones de la Teoría de Grafos a la vida real II (edX) EdX
Universitat Politècnica de València,UPValenciaX

Aplicaciones de la Teoría de Grafos a la vida real II (edX)

Aprenderemos a modelizar problemas del mundo real mediante su representación con grafos y a resolverlos mediante sus algoritmos asociados. Este curso trata la Teoría de Grafos desde el punto de vista de la modelización, lo que nos permitirá con posterioridad resolver muchos problemas de diversa índole. Presentaremos ejemplos de los distintos problemas en un contexto real, analizaremos la representación de éstos mediante grafos y veremos los algoritmos necesarios para resolverlos.

Self Paced
Self-Paced
Model-Based Automotive Systems Engineering (edX) EdX
Chalmers University of Technology,ChalmersX

Model-Based Automotive Systems Engineering (edX)

Learn how to model and simulate system dynamics in automotive engineering. Modeling, control design, and simulation are important tools supporting engineers in the development of automotive systems, from the early study of system concepts (when the system possibly does not exist yet) to optimization of system performance. This course provides a theoretical basis to model-based control design with the focus on systematically develop mathematical models from basic physical laws and to use them in control design process with specific focus on automotive applications.

Self Paced
Self-Paced
Advanced Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Advanced Statistical Inference and Modelling Using R (edX)

Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up. Advanced Statistical Inference and Modelling Using R is part two of the Statistical Analysis in R professional certificate. This course is directed at people who are already familiar with basic linear regression and fundamentals of statistical inference. It extends the knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.

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