Machine Automation 2Laajuus (4 cr)
Code: AE00CM93
Objective
Students will learn how to create multi-axis motion control systems using frequency converters, AC motors, servo-drives and servo-motors. They will also learn to create data transfer solutions for various types of motion control systems using fieldbuses.
Content
Controlling a goods processing station using programmable logic, servo-drive and servo-motor, PLC, frequency converters and AC motors, multi-axis motion control using a PC-based controller, signals and data transmission solutions commonly used in motion control instruments
Qualifications
Machine Automation 1
Assessment criteria, satisfactory (1)
The student knows the basics of motion control.
Assessment criteria, good (3)
The student masters well principles of multi-axis motion control and fieldbus communication.
Assessment criteria, excellent (5)
The student can utilize learned skills in demanding multi-axis motion control projects.
Enrollment
22.04.2024 - 22.10.2024
Timing
21.10.2024 - 18.12.2024
Credits
4 op
Teaching languages
- English
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Niko Ristimäki
Student groups
-
AE22Bachelor of Engineering, Automation Engineering
Objective
Students will learn how to create multi-axis motion control systems using frequency converters, AC motors, servo-drives and servo-motors. They will also learn to create data transfer solutions for various types of motion control systems using fieldbuses.
Content
Controlling a goods processing station using programmable logic, servo-drive and servo-motor, PLC, frequency converters and AC motors, multi-axis motion control using a PC-based controller, signals and data transmission solutions commonly used in motion control instruments
Materials
Lecture handouts, lecture demonstrations, assignments, product and programming manuals of various manufacturers.
Teaching methods
Lectures, demonstrations, assignments and group work.
Student workload
Total work load of the course: 108 h
- of which scheduled studies: 40 h
- of which autonomous studies: 68 h
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
The student knows the basics of motion control.
Assessment criteria, good (3)
The student masters well principles of multi-axis motion control and fieldbus communication.
Assessment criteria, excellent (5)
The student can utilize learned skills in demanding multi-axis motion control projects.
Assessment methods and criteria
Exercises and an examination
Assessment criteria, good (3)
The student knows the basic concepts of single-axis motion control.
Assessment criteria, excellent (5)
The student masters well principles of multi-axis motion control and fieldbus communication.
Assessment criteria, approved/failed
In addition to the above, the student can utilize learned skills in demanding projects.
Qualifications
Machine Automation 1
Enrollment
17.04.2023 - 11.10.2023
Timing
23.10.2023 - 17.12.2023
Credits
4 op
Teaching languages
- English
Degree programmes
- Bachelor of Engineering, Automation Engineering
- Bachelor of Engineering, Automation Engineering
Teachers
- Niko Ristimäki
Student groups
-
AE21Bachelor of Engineering, Automation Engineering
-
AUTE20SA
Objective
Students will learn how to create multi-axis motion control systems using frequency converters, AC motors, servo-drives and servo-motors. They will also learn to create data transfer solutions for various types of motion control systems using fieldbuses.
Content
Controlling a goods processing station using programmable logic, servo-drive and servo-motor, PLC, frequency converters and AC motors, multi-axis motion control using a PC-based controller, signals and data transmission solutions commonly used in motion control instruments
Materials
Lecture handouts, lecture demonstrations, assignments, product and programming manuals of various manufacturers
Teaching methods
Lectures, demonstrations, assignments and group work
Student workload
Total work load of the course:108 h (scheduled and autonomous studies).
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
The student knows the basics of motion control.
Assessment criteria, good (3)
The student masters well principles of multi-axis motion control and fieldbus communication.
Assessment criteria, excellent (5)
The student can utilize learned skills in demanding multi-axis motion control projects.
Assessment criteria, good (3)
The student knows the basics.
Assessment criteria, excellent (5)
The student masters well principles of multi-axis motion control and fieldbus communication.
Assessment criteria, approved/failed
The student can utilize learned skills in demanding projects.
Qualifications
Machine Automation 1