SCO-31306 Systems and Control Theory

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Studiepunten 6.00

OnderwijstypeContacturen
Lectures24
Learning supported by IT48
Practical intensively supervised40
Tutorial12
Self-study
Course coordinator(s)Prof. dr. ir. KJ Keesman
Lecturer(s)dr. ir. LG van Willigenburg
dr. RJC van Ooteghem MSc.
Prof. dr. ir. KJ Keesman
Examiner(s)dr. RJC van Ooteghem
dr. ir. LG van Willigenburg
Prof. dr. ir. KJ Keesman

Language of instruction:

English

Expected knowledge on:

Signals and Systems Modelling

Continuation courses:

System identification & MPC, Control Engineering and Process Control, Real Time Systems

Contents:

People want to be in control. In Wageningen most systems to be controlled are non-linear. Examples are chemical reactors, batch bioreactors , mechanical systems such as robots, climate control systems, environmental systems, but also management systems. This course teaches you how to optimally control such systems based on a mathematical model of the system in state-space form and a criterion reflecting the control objectives. Since the model is hardly ever a perfect description of reality, measurements will be used to improve the information concerning the state of the system. Retrieving this information is performed by so called state observers. Therefore the design and properties of state observers is another important subject considered in this course. Algorithms needed for the implementation of an optimal control strategy will also be presented. The controller designs and their software implementation in a real-time controller will be tested on a computer and on laboratory setups.

Aims:

- know how to represent and analyse dynamic systems in state-space and in input-output form;
- know how to design state observers;
- know the importance of linearised models and quadratic criteria (LQ problems) for the design of Kalman filters and feedback controllers;
- know and apply solutions and algorithms for LQ problems;
- know and apply solutions and algorithms for the optimal control of non-linear systems;
- know how to apply the theory of optimal filtering and control in practice.

Activities:

- lectures;
- tutorials;
- computer exercises to apply the theory in a MATLAB environment;
- design and implementation of state observers and controllers for laboratory setups;
- self-education.

Examination:

Six take-home exams, containing one or two exercises, and a report of the practicals.

Literature:

Course information and chapters from several well-known books on system and control theory will be available at the start of the course. The manuals for the computer exercises can be obtained during the lectures or from R.J.C. van Ooteghem MSc (practical course leader).

OpleidingFaseSpecialisatiePeriode
Keuze voor: MBEAgricultural and Bioresource EngineeringMSc3