Modeling and Simulation of Multibody Systems
This course is part of Modeling and Simulation of Multibody Systems.
This advanced engineering course teaches the modeling and simulation of multibody systems (MBS) such as vehicles, robots, and mechanical assemblies. Using the ROBOTRAN symbolic generator, students learn to create virtual models, implement time simulations, and analyze system dynamics. The course combines theoretical concepts with practical programming exercises in Python, MATLAB, or C, enabling students to master complex mechanical system analysis from model creation to results visualization.
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What you'll learn
Create accurate virtual models of complex mechanical systems
Implement time-based simulations using Python, MATLAB, or C
Analyze kinematic and dynamic characteristics of multibody systems
Develop custom features and sub-models for specific applications
Master the complete modeling process from system definition to results visualization
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
The course provides comprehensive training in modeling and simulating complex mechanical systems. Students learn to translate real mechanical systems into virtual models, implement specific features and sub-models, develop simulation programs, and analyze results. The curriculum emphasizes hands-on experience with the ROBOTRAN symbolic generator, covering everything from basic modeling principles to advanced system analysis techniques.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Modeling and Simulation of Multibody Systems
Instructors
-1746783883647.webp&w=256&q=75)
2 Courses
Distinguished Leadership in Mechanical Engineering and Multibody Dynamics
Dr. Paul Fisette serves as Full Professor at the Ecole Polytechnique de Louvain (EPL), Université catholique de Louvain, where he has established himself as a leading expert in multibody dynamics and mechanical engineering. His academic journey began with a degree in Mechanical Engineering from UCLouvain in 1987, followed by his doctoral degree in 1994, earned while collaborating with railway company B.N. Eurorail. Since 1994, he has been developing groundbreaking research in multibody dynamics, symbolic programming, vehicle dynamics, biomechanics and multiphysics modeling as a research scientist with the Fonds National de la Recherche Scientifique. His contributions to the field include co-authoring more than 170 journal articles, conference papers and book chapters, while also developing the ROBOTRAN multibody software. As head of the Multibody Research Group in the Mechatronics, Electrical Energy and Dynamic Systems Division, he continues to advance the field through innovative research in multibody and multiphysics dynamics, particularly in applications related to railway systems, biomechanics, and keyboard instruments.
2 Courses
Distinguished Leadership in Biomechanical Engineering and Rehabilitation Technology
Dr. Maxime Raison serves as Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal, where he directs the LiBRTy (Laboratory of intelligent Biomechanics, Robotics and Rehab Technology). His academic journey began at the Université catholique de Louvain, Belgium, where he earned his degree in electrical engineering in 2003, followed by DEA (2005) and PhD (2009) degrees in mechanical engineering. His expertise spans multiple disciplines, including multibody dynamics, applied AI, rehabilitation engineering, and neurorehabilitation. As director of LiBRTy, he leads a multidisciplinary team working on projects ranging from biomechanical modeling to assistive robotics, with a strong focus on clinical applications and sustainability. His research emphasizes practical applications in pediatric rehabilitation, evidenced through his work at the CRME-Ste-Justine University Hospital Center. At Polytechnique Montréal, he teaches courses in dynamic measurement, modeling, and rehabilitation engineering while coordinating multiple research clusters that generate 30-40 projects for 15-20 students across various engineering disciplines. His commitment to advancing rehabilitation technology is demonstrated through his lab's focus on low-cost solutions for Quebec's national and international rehabilitation network, combining cutting-edge research with practical clinical applications.
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