Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Objective

• 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

Purpose

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

Content

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

Knowledge

• 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.

Skills

• 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

Competences

• 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

Exam

Exams