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Industrial Automation, 6 credits
Industriell automation, 6 hp
TMMI46
Main field of study
Mechanical EngineeringCourse level
First cycleCourse type
Programme courseExaminer
Luis RibeiroDirector of studies or equivalent
Mats BjörkmanEducation components
Preliminary scheduled hours: 44 hRecommended self-study hours: 116 h
Available for exchange students
YesECV = Elective / Compulsory / Voluntary
Main field of study
Mechanical EngineeringCourse level
First cycleAdvancement level
G2XCourse offered for
- Mechanical Engineering, B Sc in Engineering
- Industrial Engineering and Management, M Sc in Engineering
- Industrial Engineering and Management - International, M Sc in Engineering
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
Basic knowledge in computer technology and programming, production, manufacturing technology, control theory, material science and human machine interaction.Intended learning outcomes
The course is meant to be an introductory course on industrial automation. In this context, the course covers the subjects required to integrate sensors and actuators with programmable logic controllers (PLCs) to automate industrial processes. In addition the course also provides a small component of robot programming and, since the automated systems always require human intervention, at some level, the course briefly presents the main challenges and prospects on human-machine-interaction which may be especially demanding in complex automation systems.
The course has a strong practical component whereby the students have the opportunity of getting a hands-on experience on the subjects taught on the theoretical lectures.
After concluding the course the students should be able to:
•Understand the main functioning principles of the most common industrial sensors and actuators.
•Understand the main logic-based models that support design of PLC programs
•Design PLC programs that are able to interpret the information collected from a set of sensors and convert that information into the corresponding actuation.
•Design PLC programs that can communicate with other programs in other PLCs.
•Understand the main challenges related with human machine interaction.
Prerequisites: (applicable to students admitted to the course is offered within the program, see “to:” above)
Course content
- Introduction
- Boolean Algebra and Logic Circuits
a.Logic gates: AND, OR, NAND, NOR, NOT, XOR, XNOR.
b.Truth tables
c.Logic functions
d.Boolean Laws
e.Karnaugh maps
f.State Machines - PLC Programming
a.IEC 61131-3 Programming languages overview
b.Ladder Diagrams
c.Structured Text
d.Communication - Sensors
a.Important Characteristics
b.Main Industrial Sensors (Overview) - Actuators
a.Pneumatic
b.Hydraulic
c.Electric - Human-machine-interaction (Overview)
Teaching and working methods
Lectures and laboratory work.
Examination
LAB1 Laboratory work 2 credits U, G TEN1 Written examination 4 credits U, 3, 4, 5 Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
Supplementary courses: Industrial Automation - project
Department
Institutionen för ekonomisk och industriell utvecklingDirector of Studies or equivalent
Mats BjörkmanExaminer
Luis RibeiroCourse website and other links
Education components
Preliminary scheduled hours: 44 h
Recommended self-study hours: 116 hCourse literature
Föresläsningsanteckningar
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB1 | Laboratory work | 2 credits | U, G |
| TEN1 | Written examination | 4 credits | U, 3, 4, 5 |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
Föresläsningsanteckningar
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
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| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (G1X level) |
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| 1.2 Fundamental engineering knowledge (G1X level) |
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
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| 2.2 Experimentation, investigation, and knowledge discovery |
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| 2.3 System thinking |
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| 2.4 Attitudes, thought, and learning |
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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| 3.2 Communications |
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| 3.3 Communication in foreign languages |
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
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| 4.4 Designing |
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| 4.5 Implementing |
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| 4.6 Operating |
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| 5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
| 5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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