Control Engineering

2018/2019

Prerequisite/Recommended prerequisite for participation in the module

Qualifications corresponding to 3rd semester on the Bachelor's programme in Electronics and Computer Engineering.

Content, progress and pedagogy of the module

Purpose
Students shall understand fundamental principles of regulation systems as well as real time issues within this kind of systems. Students shall be able to develop a physical regulation system using the classical control techniques and implement the developed digital controller using the programming skills.  In order to provide effective control solutions, the students are required to make models of the systems as well as consider the effects of feedback (the control) and noise (the disturbances) in a more rigorous manner than before.

Learning objectives

Knowledge

  • Must have insight of transfer functions described via the Laplace formulation, including feature analysis, such as poles, zeros, and analog/digital implementation
  • Must have an understanding of state space description of modern control systems, including the feature analysis, such as controllability, observability and eigen-structures etc.
  • Shall have the insight of different modelling techniques, including the first-principle and experimental approaches
  • Must be able to linearize non-linear system models in order to approximate them by linear models
  • Must have insight into real-time aspects in relation to digital systems communicating with other analog and/or digital systems
  • Must have an understanding of basic power electronics and typical electrical machines, such as different types of motors and generators

Skills

  • Must be able to analyse and select methods for modelling of physical systems, including electric, electro-mechanical, thermal and fluid dynamical systems, at a level where the resulting models can be utilized in a control system design
  • Must be able to apply selected theoretical and/or experimental modeling techniques for modeling dynamic systems and simulating them
  • Must be able to analyse the open-loop and closed-loop system features and specify system performances, both in transfer function and state space descriptions
  • Must be able to apply both classical (frequency-domain) and modern (state space) control techniques for analysis and design of a control system based on a given specification 
  • Must be able to convert the developed controller into a digital  version in order to implement it in a digital programmable device, for example, in a specific micro-processor or PC based manner

Competences

  • Must be able to apply different modelling techniques to illustrate dynamic system’s features and performance, with an orientation for control design purpose
  • Must be able to simulate the obtained mathematical model by employing some simulation tools, such as Matlab/Simulink.
  • Must be able to analyse, design and implement a control solution for a given specific regulation problem, by using both classical and modern control theories  
  • Must have insight of basic principles and analysis of power electronics and electrical machines, potentially some control issues of these devices and systems

Type of instruction

Project work with supervision.

Extent and expected workload

Since it is a 15 ECTS project module, the work load is expected to be 450 hours for the student.

Exam

Exams

Name of examControl Engineering
Type of exam
Oral exam based on a project
ECTS15
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentAs stated in the Joint Programme Regulations.
http:/​/​www.engineering.aau.dk/​uddannelse/​studieadministration/​

Additional information

Project on 4th Semester Electronics and Computer Engineering (BSc).

Facts about the module

Danish titleRegulering
Module codeN-ED-B4-1
Module typeProject
Duration1 semester
SemesterSpring
ECTS15
Empty-place SchemeYes
Location of the lectureCampus Esbjerg
Responsible for the module

Organisation

Study BoardStudy Board of Energy
FacultyFaculty of Engineering and Science