Prerequisite/Recommended prerequisite for
participation in the module
The module builds on knowledge obtained through the Bachelor of
Science (BSc) in Engineering (Electronic Engineering and IT
education and the 1st semester of the Master’s Programme in Control
and Automation (CA) at Aalborg University. In particular,
qualifications equivalent to those obtained through the Bachelor of
Engineering in Electronics is recommended.
Content, progress and pedagogy of the
module
Learning objectives
Knowledge
- Mass- and energy balances
- Preservation of momentum
- Definition of control volumes, Reynolds theorem
- Empirical relations for heat transfer friction
- Properties for liquids and gasses
- Fundamental laws of thermodynamics
- Models with lumped parameters¨
- Models with distributed parameters
- Model structures for system identification: AR, MA, ARMA,
ARMAX, Box-Jenkins
- System identification methods: Moment method , Least squares
method, Prediction error method, Maximum likelihood method,
Recursive and adaptive parameter estimation
- Lagrange and Hamiltonian mechanics
- Coordinate systems and coordinate transformation for mechanical
systems.
- Rotation parameters, rotation matrices, quaternions
- Kinematics
- Satellite and Robot dynamics
- Model representations (differential equations, state space,
transfer function, differential-algebraic equations, descriptor
form)
- Model reduction
- Linearization
- Model properties (controllability, observability,
stability)
Skills
- Should be able to formulate models of a basic energy conversion
systems and mechanical systems.
- Should be able to apply system identification methods
- Should be able to adapt the model to a suitable
representation.
Competences
- Capable of modeling a system with sufficient information level,
suitable for solving a given control problem
Type of instruction
As described in the introduction to Chapter 3.
Exam
Exams