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Mechatronics

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Preview this course
Self-paced Beginner

Mechatronics

4(1580)
8 enrolled
1225 views
FREE
1353 min
Anytime
English
1225 views
Team EveryEng
Team EveryEngMechanical Engineering
  • Lifetime access
  • Certificate of completion
  • Foundational Learning
  • Access to Study Materials
Volume pricing for groups of 5+

Why enroll

Transform your career with the future of engineering! Our Mechatronics course combines the power of mechanics, electronics, and software to create intelligent systems that are revolutionizing industries. Learn to design, develop, and control robots, drones, and smart devices using cutting-edge technologies. With hands-on projects and expert instruction, you'll gain the skills to innovate and automate. Join the mechatronics revolution and unlock new possibilities in robotics, automation, and beyond. Enroll now and start building the future!

Is this course for you?

You should take this if

  • You work in Aerospace or Automotive
  • You're a Data Science & Analysis / Mechanical Engineering professional
  • You prefer self-paced learning you can revisit

You should skip if

  • You need a different specialisation outside Data Science & Analysis
  • You need live interaction with an instructor

Course details

This course provides a comprehensive introduction to Mechatronics, an interdisciplinary field that integrates mechanical engineering, electrical systems, electronics, computer science, and control engineering to create intelligent and automated systems. Participants will gain a strong foundation in the core concepts of sensors, actuators, microcontrollers, and embedded systems. The course explores how mechanical components interact with electronic circuits and software to perform precise and efficient operations. Learners will understand system modeling, control strategies, and real-time data processing techniques. Practical insights into automation, robotics, and smart product design are also emphasized. Through hands-on examples and case studies, participants will develop the ability to design and analyze mechatronic systems used in industries such as manufacturing, automotive, and aerospace. The course also introduces modern tools and technologies used for simulation and system integration. By the end of the course, learners will be equipped with the skills to design, develop, and optimize intelligent systems for real-world applications.

Source: IIT Roorkee July 2018 (YouTube Channel)
Prof. Pushparaj Mani Pathak, Dept. of Mechanical and Industrial Engineering, IIT Roorkee

Course suitable for

Key topics covered

  • Sensors and actuators

  • Microcontrollers and programming

  • Control systems and algorithms

  • Robotics and automation

  • Human-machine interfaces

  • System design and integration

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

40 lectures22 hr 33 min
  1. Introduction
    39 min
  2. Mechatronics System Examples
    28 min
  3. Electric Circuits and Components
    36 min
  4. Semiconductor Electronics
    36 min
  5. Application of Transistors
    27 min
  6. Sensors Performance Terminology
    27 min
  7. Displacement, Position & Proximity Sensors - I
    30 min
  8. Displacement, Position & Proximity Sensors - II
    37 min
  9. Force, Fluid Flow Sensors
    40 min
  10. Acceleration & Vibration Measurement Sensors
    42 min
  11. Mechanical Actuation Systems
    35 min
  12. Hydraulic and Pneumatic Actuators
    46 min
  13. Electrical Actuation System - I
    49 min
  14. Electrical Actuation System - II
    35 min
  15. Data Presentation Systems
    38 min
  16. Introduction to Signal Conditioning & Op-Amp
    43 min
  17. OP-AMP As Signal Conditioner
    27 min
  18. Analogue To Digital Converters
    35 min
  19. Digital To Analogue Converters
    29 min
  20. Artificial Intelligence
    36 min
  21. Digital Circuits - I
    52 min
  22. Digital Circuits - II
    32 min
  23. Microprocessor
    20 min
  24. Microcontroller
    28 min
  25. Microcontroller Programming Example
    20 min
  26. Mechanical System Model
    42 min
  27. Electrical System Model
    31 min
  28. Fluid System Model
    33 min
  29. Dynamic Response of Systems
    30 min
  30. Transfer Function and Frequency Response
    34 min
  31. Controllers
    38 min
  32. Digital Controllers
    27 min
  33. Program Logic Controllers
    28 min
  34. Input, output and Communication systems
    34 min
  35. Fault Finding
    26 min
  36. Project using Microcontroller – ATMEGA16
    36 min
  37. Myoelectrically Controlled Robotic Arm
    31 min
  38. ABU Robocon 2019 – Part 1
    31 min
  39. ABU Robocon 2019 – Part 2
    36 min
  40. Design of a Legged Robot
    29 min

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Questions and Answers

A: B feels slow and old-school, but it catches wiring damage before silicon gets stressed. A tempts controls folks because software is visible early, yet powering logic without knowing insulation is asking for a blown drive. C is what everyone wants to do, but motion before electrical integrity is backwards. D is a real safety check, just not before you know the motor and cables won’t leak current into the drive on first power.

A: A ties directly to the risk: loss of torque must survive one fault. B sounds plausible if you mix in SELV rules, but ISO 13849 doesn’t draw voltage lines like that. C flips the logic; higher categories usually add, not remove, diagnostic expectations. D imports assumptions from old relay-based machines and doesn’t exist in the standard’s intent.

A: Start with distance: 0.5 m/s over 2,000 h at 30% gives 0.5×720,000 s ≈ 360 km. At 10 mm per rev, that’s 100 rev/m, so ~3.6×10^7 rev. A drops a zero by missing either duty or seconds. C double-counts speed and time. D feels conservative but throws away two orders of magnitude by misusing downtime.

A: A matches physics: more inertia hits the accel phase, not cruise. B sounds like classic control talk, but integral windup won’t fix torque limits. C treats a thermal symptom that hasn’t happened yet. D blames sensors when the plant changed.