Industrial Control Systems, 6 credits

Industriell reglerteknik, 6 hp

TSRT07

Main field of study

Electrical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Martin Enqvist

Director of studies or equivalent

Johan Löfberg

Education components

Preliminary scheduled hours: 52 h
Recommended self-study hours: 108 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 8 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 8 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 8 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 8 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 8 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Mechatronics) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Mechatronics) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Mechatronics) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Mechatronics) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Mechatronics) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Control and Information Systems) 8 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Mechatronics) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CKEB Chemical Biology (Industrial Biotechnology and Production) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CKEB Chemical Biology (Protein Science and Technology) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (AI and Machine Learning) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Systems Technology) 8 (Spring 2017) 1 2 Swedish Linköping, Valla C/E
6CMJU Computer Science and Software Engineering, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (AI and Machine Learning) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CEMM Energy-Environment-Management 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CEMM Energy-Environment-Management (Technology for Sustainable Development) 8 (Spring 2017) 1 2 Swedish Linköping E
6CTBI Engineering Biology, M Sc in Engineering (Devices and Materials in Biomedicine) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CTBI Engineering Biology, M Sc in Engineering (Industrial Biotechnology and Production) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Automatic Control) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Automatic Control) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Automatic Control) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Automatic Control) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Master Profile Automatic Control) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Specialization Electrical Engineering) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Specialization Electrical Engineering) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Specialization Electrical Engineering) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Specialization Electrical Engineering) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering (Specialization Electrical Engineering) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Automatic Control) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering (Specialization Electrical Engineering) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CITE Information Technology, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (AI and Machine Learning) 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Systems Technology) 8 (Spring 2017) 1 2 Swedish Linköping, Valla C/E
6CMMM Mechanical Engineering, M Sc in Engineering 8 (Spring 2017) 1 2 Swedish Linköping, Valla E
6CMMM Mechanical Engineering, M Sc in Engineering (Mechatronics) 8 (Spring 2017) 1 2 Swedish Linköping E

Main field of study

Electrical Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Computer Science and Engineering, M Sc in Engineering
  • Energy-Environment-Management
  • Industrial Engineering and Management - International, M Sc in Engineering
  • Industrial Engineering and Management, M Sc in Engineering
  • Chemical Biology
  • Mechanical Engineering, M Sc in Engineering
  • Engineering Biology, M Sc in Engineering
  • Applied Physics and Electrical Engineering, M Sc in Engineering
  • Information Technology, M Sc in Engineering
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering
  • Computer Science and Software Engineering, 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

Automatic control

Intended learning outcomes

The students should obtain knowledge about the control methods and strategies that are common in industry. In particular, the course should give an understanding for how control problems of different complexity can be solved using various types of computer-implemented controllers. More specifically, the students should know how to

  • Use programmable logic controllers (PLCs)
  • Analyse sequential control problems with relay ladder diagrams and sequential function charts (GRAFCET)
  • Model and analyse discrete-time systems
  • Sample continuous-time systems approximately or exactly
  • Handle limitations in the design of linear control systems
  • Tune PID controllers and implement them in software
  • Evaluate the performance of a control system
  • Use various linear control system structures
  • Design and analyse model predictive controllers (MPCs)
  • Use several versions of MPC, e.g., for guaranteeing good reference tracking or stability

Course content

Sequential control: Function charts, relay ladder diagrams, PLC languages.

Basic tools and methods: Discrete-time control theory, sampling of systems, process models.

Design and tuning of controllers: Internal model control, Smith predictor, reference feedforward control, PID tuning.

Implementation and operation of controllers: Digital implementation, anti-windup, mode transitions, performance measures, Harris index, oscillation index.

Nonlinear control strategies: Selector control, gain scheduling, fuzzy control.

Control system structures: Disturbance feedforward control, cascade control, ratio control, mid-range control, split-range control.

Model predictive control: Formulation of optimization problems for MPC, reference tracking, integral action, stability, explicit MPC.

Teaching and working methods

The course consists of lectures, exercise sessions and laboratory work.

Examination

LAB1Laboratory work2 creditsU, G
DAT1Computer examination4 creditsU, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses: Control Project Laboratory

Department

Institutionen för systemteknik

Director of Studies or equivalent

Johan Löfberg

Examiner

Martin Enqvist

Course website and other links

Education components

Preliminary scheduled hours: 52 h
Recommended self-study hours: 108 h

Course literature

Kompendium: "Industriell reglerteknik".
Code Name Scope Grading scale
LAB1 Laboratory work 2 credits U, G
DAT1 Computer 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. 

Kompendium: "Industriell reglerteknik".

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
DAT1
LAB1

                            
1.2 Fundamental engineering knowledge (G1X level)
X
X
X
DAT1
LAB1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
DAT1
LAB1

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
DAT1
LAB1

                            
2.2 Experimentation, investigation, and knowledge discovery
X
X
LAB1

                            
2.3 System thinking
X
X
DAT1
LAB1

                            
2.4 Attitudes, thought, and learning
X
LAB1

                            
2.5 Ethics, equity, and other responsibilities
X

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
LAB1

                            
3.2 Communications
X
X
LAB1

                            
3.3 Communication in foreign languages

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X

                            
4.2 Enterprise and business context
X

                            
4.3 Conceiving, system engineering and management
X
X
DAT1
LAB1

                            
4.4 Designing
X
X
DAT1
LAB1

                            
4.5 Implementing
X
X
DAT1
LAB1

                            
4.6 Operating
X

                            
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

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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