Control and Surveillance Processes and Systems


Recommended prerequisite for participation in the module

Control theory and digital microprocessors.

Content, progress and pedagogy of the module


  • to contribute to students’ attainment of knowledge and comprehension of typical industrial  automation systems
  • to contribute to students’ attainment of knowledge and comprehension of basic nonlinear control theory


The course purpose consists of two parts:

  • To contribute to students’ attainment of comprehension of some typical industrial control and surveillance processes/systems, such as control of AC-machines, PLC programming and implementation and SCADA systems.
  • To contribute to students’ attainment of comprehension of fundamental knowledge of non-linear control systems and the feedback linearization design method


Industrial automation systems:

  • Introduction to industrial automation systems 
    • Overview of typical energy- industrial automation systems
  • Control of AC machines
    • AC machine models, e.g., dynamic models, space-vector models
    • AC machine stationary characteristics
      • Motoring vs. generating mode
      • Speed-torque-current-voltage-flux characteristics
    •  Induction machine control
      • Variable frequency operation (V/Hz control)
      • Small-signal stability analysis during V/Hz control
      • Voltage-vector control
      • Compensation for resistive voltage drops
      • Load compensation (slip frequency)
    • Permanent-magnet machine control
      • Torque production mechanisms
      • Rotor-flux oriented control principles
      • Current control
      • Principles of field-weakening operation 
  • Programmable Logic Controllers (PLC’s)
    • Architecture of PLC systems, includes the microprocessor unit, I/O modules, communications and user interface
    • PLC programming using IEC 61131-3 standard
    • Introduction to Programmable Automation Controllers (PAC’s)
    • Examples of vendor PLC’s and fieldbus interfaces to PLC’s
  • Supervisory Control And Data Acquisition (SCADA) systems
    •  System concepts and features
      • Human Machine Interface (HMI)
      • Remote Terminal Unit (RTU)
      • Supervisory station
      • Communication infrastructure and methods  
    • SCADA architectures, e.g., monolithic, distributed, networked configurations
    • Reliability and security issues
      • Redundancy
      • Reliability statistic calculation
      • Network security
    • Application examples of SCADA in energy systems

Nonlinear control theory

  • Introduction to nonlinear control
  • Phase plane analysis
  • Lyapunov stability theory
    • Lyapunov Stability
    • Linearization and local stability
    • Lyapunov’s direct method
    • Stabilization control design based on Lyapunov method
  • Feedback linearization
    • Lie derivatives and Lie brackets
    • Diffeomorphisms and state transformations
    • Frobenius theorem
    • Input-state linearization of SISO systems
    • Input-output linearization of SISO systems

Learning objectives


  • Have comprehension of some typical industrial automation processes/systems including the control of AC-machines, PLC systems and SCADA systems
  • Have comprehension of fundamental concepts and terms of nonlinear control theory.
  • Have comprehension of Lyapunov’s methods for stability analysis and stabilization control design.


  • Be able to apply the learned knowledge to handle some small-sized industrial automation systems.
  • Be able to apply the feedback linearization method for non-linear control design.
  • Be able to judge the usefulness of the set up methods
  • Be able to relate the methods to applications in the industry


  • Independently be able to define and analyze scientific problems within the area of control and surveillance systems.
  • Independently be able to be a part of professional and interdisciplinary development work within the area of control and surveillance systems.

Type of instruction

The program is based on a combination of academic, problem-oriented and interdisciplinary approaches and organized based on the following work and evaluation methods that combine skills and reflection:

  • Lectures
  • Classroom instruction
  • Project work
  • Workshops
  • Exercises (individually and in groups)
  • Teacher feedback
  • Reflection
  • Portfolio work

Extent and expected workload

Since it is a 5 ECTS course module, the work load is expected to be 150 hours for the student



Name of examControl and Surveillance Processes and Systems
Type of exam
Written or oral exam
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleRegulerings og overvågningsprocesser og -systemer
Module codeN-IRS-K2-2
Module typeCourse
Duration1 semester
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Esbjerg
Responsible for the module


Education ownerMaster of Science (MSc) in Engineering (Intelligent Reliable Systems)
Study BoardStudy Board of Build, Energy, Electronics and Mechanics in Esbjerg
DepartmentDepartment of Energy
FacultyThe Faculty of Engineering and Science