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Laboratory Assignments in Automation 2Laajuus (4 cr)

Code: AE00CM94

Objective

Students will be able to configure and programme discrete automation control systems (PLC). Students will learn how to develop a multi-axis motion control system using frequency converters, cage induction motors, servo-drives and servo-motors. They will be competent in constructing various data transfer solutions needed for motion control in automation systems using fieldbuses.

Content

Students will practise how to programme and configure the control for a goods-processing station using programmable logic, a servo-drive and a servo-motor, as well as a frequency converter and cage induction motor. Students will also programme a multi-axis, PC-based motion controller and they will also practice configuring different fieldbus systems.

Assessment criteria, approved/failed

Approved written reports of laboratory exercises.

Materials

Machine Automation 2

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AE21
    Bachelor of Engineering, Automation Engineering
  • AUTE20SA

Objective

Students will be able to configure and programme discrete automation control systems (PLC). Students will learn how to develop a multi-axis motion control system using frequency converters, cage induction motors, servo-drives and servo-motors. They will be competent in constructing various data transfer solutions needed for motion control in automation systems using fieldbuses.

Content

Students will practise how to programme and configure the control for a goods-processing station using programmable logic, a servo-drive and a servo-motor, as well as a frequency converter and cage induction motor. Students will also programme a multi-axis, PC-based motion controller and they will also practice configuring different fieldbus systems.

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:107 h (scheduled and autonomous studies).

realization.localizedApproveRejectDescription

Approved, written reports pertaining to the laboratory assignments

Evaluation scale

Passed/failed

Assessment criteria, approved/failed

Approved written reports of laboratory exercises.