SST-234 Cyberphysical Automation Control II

Students in this capstone class prepare to take part in a technological co-op experience in a local company. Students will apply concepts and techniques of mechatronics and machine vision in order to complete a team-based case study project to solve problems encountered in high technology businesses.

Credits

4

Prerequisite

SST-231 and TECH-123

Department

• Science & Technology

Course Rotation Schedule

• Spring: Hyflex

For more detailed course information view the Course Outline

SST 234: Cyberphysical Automation Control II

Department

Science and Technology

Course Description

Students in this capstone class prepare to take part in a technological co-op experience in a local company. Students will apply concepts and techniques of mechatronics and machine vision in order to complete a team-based case study project to solve problems encountered in high technology businesses.

Credit Hours

4

Contact Hours

Lecture	3
Lab	2
Other	0

Grading Scheme

Letter

Prerequisites

SST-231 and TECH-123

Capstone Course

Yes

Course Learning Outcomes

1. Define the mechatronic control and/or machine vision requirements to specify tasks to be performed.
2. Simulate machine vision and/or mechatronic actuators and control hardware (ex. Microcontroller, PLC, or PAC) using LabVIEW, Multisim and/or Ladder Logic software.
3. Construct mechatronic and/or machine vision system using industry standard hardware.
4. Verify mechatronic and/or machine vision systems through tests.
5. Document and communicate mechatronic and/or machine vision solutions.

Topic Outline

1. 1. Principles and practice of motion control
2.     a. Selecting and sizing servo and stepper motors
3.     b. Using feedback in motion control
4.     c. Trajectory control using motion control software
5.     d. Mechatronics hardware and software
6. 2. Principles and practice of industrial machine vision
7.     a. Choice of lighting, optics, cameras, and image acquisition devices
8.     b. Acquiring and displaying images
9.     c. Image processing techniques and algorithms
10.     d. Calibrating images
11.     e. Industrial machine vision applications: metrology, automated inspection, and robotics
12.     f. Simulation of motion control and machine vision hardware and software
13. 3. Team-based case study project: define and develop an innovative automation control solution using industry-standard hardware and software tools