Industrial Controls and Manufacturing
(3-0-0-4)
CMPE Degree: This course is for the CMPE degree.
EE Degree: This course is for the EE degree.
Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.
Technical Interest Group(s) / Course Type(s): Cross-listed courses, Systems and Controls
Course Coordinator:
Prerequisites: ECE 3085/3550
Corequisites: None.
Catalog Description
Students are introduced to industrial controls and the fundamentals ofmanufacturing with hands-on experience based on lab projects using
industry software and hardware for communications and control.
Crosslisted with TFE 4761.
Course Outcomes
Not Applicable
Student Outcomes
In the parentheses for each Student Outcome:"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.
1. ( ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. ( ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3. ( ) An ability to communicate effectively with a range of audiences
4. ( ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5. ( ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6. ( ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7. ( ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Strategic Performance Indicators (SPIs)
Not Applicable
Course Objectives
Topical Outline
Process Control (5 weeks)
Introduction to process control
Feedback control
Tracking control
PID control
Digital controllers
Adaptive control
Applications
Discrete Logic Control (4 weeks)
State diagrams
Boolean logic
Ladder logic diagrams
PLC implementation
Applications of discrete logic control
Fundamentals of Manufacturing (2 and 1/2 weeks)
Types of production
Production concepts and models
Flow line analysis
Line balancing
Manufacturing Control Systems (2 and 1/2 weeks)
Hierarchial control
Network communications
Production control