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Mechatronics


Course Description

Mechatronics integrates control, sensors, and computers to create electromechanical systems. Sensors, actuators, real-time microprocessor control, system design, and dynamic system modeling and analysis.


Athena Title

Mechatronics


Prerequisite

ENGR 2170-2170L and (MCHE 3300 or MCHE 3300E) and (MCHE 4210/6210 or ELEE 4210/6210)


Pre or Corequisite

ELEE 4220/6220 or ENGR 4220/6220


Semester Course Offered

Offered every year.


Grading System

A - F (Traditional)


Student Learning Outcomes

  • By the end of this course, students will be able to properly specify basic actuators and sensors.
  • By the end of this course, students will be able to understand principles, modeling, interfacing, and signal conditioning of motion sensors and actuators.
  • By the end of this course, students will be able to perform hardware-in-the-loop simulation and real-time closed-loop computer control of electromechanical systems.
  • By the end of this course, students will be able to analyze and identify discrete-time or samples-data dynamic systems.
  • By the end of this course, students will be able to implement commonly used digital controller design methods.
  • By the end of this course, students will be able to design, analyze, and construct basic mechatronic systems.

Topical Outline

  • verview of Mechatronic and Dynamic Systems: • Overview of Mechatronics • Overview of dynamic system modeling and analysis
  • Sensors: • Analog position measurement • Digital position measurement • Temperature sensors • Strain, stress, force measurement • Accelerometers
  • Actuators: • DC Motors • Stepper motors • Hydraulic motors • Piezo actuators
  • Interfacing: • Operation amplifiers • Signal conditioning • Analog-to-digital/Digital-to-analog conversions • Power amplifiers • LCD modules Hardware-in-the-Loop Experimentation: • hardware-in-the-loop simulation • Real-time closed-loop computer control of electromechanical systems
  • Digital Control Systems Analysis: • sampling process • signal reconstruction • linear discrete time models • z-transform • discrete transfer function • discrete system stability
  • Miscellaneous: • PLC and Industrial Automation • Data acquisition • Mechatronics – towards the successful design

Syllabus