MEI-56206 Production Automation Exercises, 5 cr
Person responsible
Niko Siltala, Jyrki Latokartano
Learning Outcomes
The student can program and use the basic equipment of the discrete manufacturing automation in practice (sensors, actuators, PLC logics, robotics). In the end of the course students have a good practical understanding of the field of discrete manufacturing automation and (s)he can also use the virtual design tools in practice.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Basics of state models. Student utilise state models and timing charts for representing practical cases and (s)he understands applicability of state models. | Student can apply state models to control program creation. Understands basics of PackML (ISA TR88.00.02) in practice. | |
| 2. | Logic programming (instruction list, ladder diagram, function block diagram, structured text, sequential function chart). Students can use basic functions to control digital inputs and outputs. Student knows timers, counters, word logic, comparison functions, etc. | Student can resolve complicated PLC tasks with different logic programming languages. (S)he can utilize handshaking concept. | Student has good capability to apply PLC technology and state models to practical problems. (S)he can utilise the PackML concepts. |
| 3. | Basic robot programming skills. Robot coordinates, movements, control of inputs and outputs. | Student can resolve complicated robot tasks. | Student has good capability to apply robot technology to practical problems. Student knows the restrictions and potential of the robotics. |
| 4. | Basics of graphical off-line robot programing. | Student can create robot program in off-line simulation and implement it in real environment. | Student can optimize the robot programs using data available in simulation and real robot environment. |
| 5. | Visual interface design | Student can make a graphical user interface for automation process. |
Instructions for students on how to achieve the learning outcomes
The course is completed when exercises and laboratory works are successfully carried out.
Assessment scale:
Evaluation scale passed/failed will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Additional information | Examination material |
| Other literature | Specification of each laboratory work | No | ||||
| Online book | IEC 61131-3: Programming Industrial Automation Systems | Karl Heinz John, Michael Tiegelkamp | 978-3-642-12015-2 | DOI: 10.1007/978-3-642-12015-2 Available in TUT network. | No |
Prerequisites
| Course | Mandatory/Advisable | Description |
| MEI-56006 Production Automation Planning | Mandatory | |
| MEI-56606 Machine Vision | Advisable |
Correspondence of content
There is no equivalence with any other courses