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Modelling and simulation of mechanical systems

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Modelling and simulation of mechanical systems

4,504 already enrolled

Included with

Gain insight into a topic and learn the fundamentals.
4.5

28 reviews

Intermediate level
Some related experience required
1 week to complete
at 10 hours a week

Gain insight into a topic and learn the fundamentals.
4.5

28 reviews

Intermediate level
Some related experience required
1 week to complete
at 10 hours a week

What you'll learn

  • Schematize a real system

    Mathematically model multi-physics system

    Development of Matlab/Simulink models

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

18 assignments

Taught in English
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is part of the Autonomous Vehicle Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

The course provides the principles of modelling and simulation of modern mechatronic systems, which are mechanical systems integrated with several types of sensors and actuators. The aim of the course is to show different methodologies to improve the potential of mechanical systems by transforming them into mechatronic systems based on virtual models. In particular, the lessons will be focused on case studies in three engineering fields: robotics, controlled electro-hydraulic actuators and smart devices.

Computer vision for the control of mechanical systems.

What's included

6 videos14 readings6 assignments

6 videosTotal 15 minutes
  • Welcome!1 minute
  • Artificial Vision Systems3 minutes
  • Vision System Model 3 minutes
  • Vision system applications2 minutes
  • Detect an object2 minutes
  • Applications on motion measurement2 minutes
14 readingsTotal 230 minutes
  • Artificial Vision Systems 20 minutes
  • Artificial Vision Systems part 220 minutes
  • References1 minute
  • Vision System Model25 minutes
  • Vision System Model part 225 minutes
  • References1 minute
  • Vision systems applications25 minutes
  • Vision systems applications part 225 minutes
  • References1 minute
  • Detect an object30 minutes
  • Detect an object part 225 minutes
  • References1 minute
  • Applications on motion measurement30 minutes
  • References1 minute
6 assignmentsTotal 80 minutes
  • Challenge yourself: Computer vision for the control of mechanical systems30 minutes
  • Let's practice: Basic Concepts of the Artificial Vision System10 minutes
  • Let's practice: Basic Concepts of the Vision System Model10 minutes
  • Let's practice: Vision system application10 minutes
  • Let's practice: How to detect an object10 minutes
  • Let's practice: Motion measurement10 minutes

Modelling, control and simulation of electro-hydraulic shake tables.

What's included

6 videos9 readings6 assignments1 ungraded lab

6 videosTotal 7 minutes
  • Welcome to Week 21 minute
  • Introduction to shake-tables1 minute
  • Electro-hydraulic systems1 minute
  • Modelling and control of real electro-hydraulic actuation systems1 minute
  • Simulation in Matlab/Simulink of a controlled shake table1 minute
  • Analysis of experimental data acquired on a real shake-table1 minute
9 readingsTotal 139 minutes
  • Introduction to shake-tables25 minutes
  • References1 minute
  • Electro-hydraulic systems25 minutes
  • References1 minute
  • Modelling and control of a real electro-hydraulic actuation systems30 minutes
  • References1 minute
  • Simulation in Matlab/Simulink of a controlled shake table25 minutes
  • Analysis of experimental data acquired on a real shake-table30 minutes
  • References1 minute
6 assignmentsTotal 80 minutes
  • Challenge yourself: Modelling, control and simulation skills30 minutes
  • Let's practice: Shake-tables10 minutes
  • Let's practice: Electro-hydraulic system10 minutes
  • Let's practice: Control of a real electro-hydraulic actuation systems10 minutes
  • Let's practice: Matlab/Simulink examples10 minutes
  • Let's practice: Experimental data on a real shake-table10 minutes
1 ungraded labTotal 60 minutes
  • Simulation of the smart tire strain behaviour60 minutes

Design and development of a smart tyre.

What's included

6 videos10 readings6 assignments

6 videosTotal 8 minutes
  • Introduction1 minute
  • Introduction to smart tires1 minute
  • Smart tire systems1 minute
  • Analytical modelling of smart tires through the modal expansion method2 minutes
  • Simulation in Matlab of the smart tire strain behaviour1 minute
  • Analysis of experimental strain data acquired on a real smart tire1 minute
10 readingsTotal 135 minutes
  • Introduction to smart tires25 minutes
  • References1 minute
  • Smart tire systems25 minutes
  • References1 minute
  • Analytical modelling of smart tires through the modal expansion method30 minutes
  • References1 minute
  • Simulation in Matlab of the smart tire strain behaviour25 minutes
  • References1 minute
  • Analysis of experimental strain data acquired on a real smart tire25 minutes
  • References1 minute
6 assignmentsTotal 71 minutes
  • Challenge yourself: Asmart tyre understanding30 minutes
  • Let's practice: Smart tires1 minute
  • Let's practice: Smart tire systems10 minutes
  • Let's practice: Analtical Modelling of smart tires 10 minutes
  • Let's practice: Matlab simulation of the smart tire strain behaviour10 minutes
  • Let's practice: experimental strain data related to a smart tire10 minutes

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Instructors

Instructor ratings
4.8 (6 ratings)
Università di Napoli Federico II
1 Course4,504 learners

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IK
·

Reviewed on Nov 2, 2024

it helps me alot in how to design mathematical model of multi physics system

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