Modeling and simulation of multibody systems - Part I
- Duration: 14 weeks
- Effort: 140 hours
- Pace: ~10 hours/week
Vehicles, bicycles, cranes, human body and robots are multibody systems. Learn how to model them and compute their kinematic and dynamic characteristics, such as velocities, accelerations and forces.
This course is provided in collaboration with UCLouvain (Université catholique de Louvain) on edX.
Click on Enroll Now to sign up on edX.org.
This course is provided in collaboration with UCLouvain (Université catholique de Louvain) on edX.org.
This course aims at acquainting you with the modeling and simulation of complex articulated mechanical systems, denoted as multibody systems, such as vehicles, merry-go-rounds, bicycles, cranes, human bodies, suspensions, robot manipulators, mechanical transmissions, etc.
This course is based on (1) video clips focusing on the main theoretical background and concepts, (2) well-illustrated written sections giving 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 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 of this generation step.
Upstream the latter you will learn how to translate the real system, e.g. a car suspension, into a virtual multibody model comprising bodies, joints, springs, sensors, constraints, external forces and torques… with a level of refinement that will be dictated by the original issue: for example, what is the minimum tire ground force when the car suspension is excited by a shaker?
Downstream the symbolic generation, your intervention will consist in:
- Completing the symbolic model with features that are indispensable for/specific to your system, e.g. a tire force model, a data look-up-table interpolation 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: an equilibrium solution can give you the static forces and the system deflection, a time simulation can compute any transient motion of the system submitted to forces and torques, a modal analysis will provide you with the eigenmodes that inform you about the system stability and damping characteristics.
- 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. Some results of system modeling and simulation are provided with Robotran software. Thus, the use of the multibody software of your choice is possible but will not be subject to the monitoring of the teachers of this course.
What you'll learn
In this course devoted to multibody systems, you will learn how to:
- translate a real 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 simulate the system and produce the expected results.
- Louv25.1x, from Sept. 13, 2021 to Dec. 17, 2021
Maxime Raison obtained his degree in electrical engineering and his Ph.D. degree in mechanical engineering from UCLouvain. He is full professor in mechanical and biomedical engineering at Polytechnique Montréal, where he teaches dynamic measurement and modeling, and rehabilitation engineering. He is the head of the Research Chair in Pediatric Rehabilitation Engineering, at the Technopole of CRME–Ste-Justine University Hospital Center, Montreal. His main research topics are multibody dynamic modeling, assistive robotics, and artificial intelligence in biomedical engineering.
Paul Fisette, Professor at Université catholique de Louvain
Paul Fisette obtained his degree in Mechanical Engineering from UCLouvain in 1987. From 1990 to 1993, he worked as a researcher in the Department of Mechanical Engineering in collaboration with the railway company B.N. Eurorail and obtained a doctoral degree in March 1994. Since 1994, he has been working as research scientist with a fellowship from the Fund for Scientific Research in Belgium. His research concerns multibody dynamics, symbolic programming (ROBOTRAN multibody software), vehicle dynamics, biomechanics and multiphysics modeling. He now works as full professor at the Louvain School of Engineering.