Teaching Rigid Body Dynamics: A Combination of Symbolic and Numeric Computing
Overview
In this presentation, we’ll demonstrate how to use MATLAB to implement a Lagrangian dynamics approach for deriving equations of motion of rigid body systems. The proposed workflow incorporates tasks involving both symbolic and numeric computing – a natural combination that leads to deeper learning engagements with students.
In the first half of this session we’ll introduce the fundamental computing patterns that are needed in the derivations. In the second half of the session, these computing patterns are then applied to derive the equations of motion for a 4-LINK non-planar robotic manipulator.
Highlights
- How complex problems can be broken down into a series of smaller problems.
- How curiosity can be fostered, leading to students wanting to “create” and “do”
- Remove the tedium associated with equation derivation AND focus instead on thinking about the foundation physics of the problem.
- Immediately and easily, solve(numerically) the derived equations.
- How positive emotions to learning are fostered by a HELP/DOC system that acts as a companion during the learning and discovery process.
About the Presenter
Bradley Horton is a member of the Academic Technical Evangelist team at MathWorks, helping faculty members better utilize MATLAB and Simulink for education and research. Bradley has supported and consulted for clients on projects in process control engineering, power systems simulation, military operations research, and earthquake impact modelling. Before joining MathWorks, Brad spent 5 years as a systems engineer with the Defence Science & Technology Organisation (DSTO) working as an operations research analyst. Bradley holds a B.Eng. in Mechanical engineering and a B.Sc. in Applied mathematics.
Recorded: 19 Sep 2017
Featured Product
Symbolic Math Toolbox
Up Next:
Related Videos:
Sélectionner un site web
Choisissez un site web pour accéder au contenu traduit dans votre langue (lorsqu'il est disponible) et voir les événements et les offres locales. D’après votre position, nous vous recommandons de sélectionner la région suivante : .
Vous pouvez également sélectionner un site web dans la liste suivante :
Comment optimiser les performances du site
Pour optimiser les performances du site, sélectionnez la région Chine (en chinois ou en anglais). Les sites de MathWorks pour les autres pays ne sont pas optimisés pour les visites provenant de votre région.
Amériques
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asie-Pacifique
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)