BCT-21306 Control Engineering

Course

Credits 6.00

Teaching methodContact hours
Lecture30
Tutorial4
Practical60
Course coordinator(s)dr. RJC van Ooteghem
dr. ir. AJB van Boxtel
Lecturer(s)dr. RJC van Ooteghem
dr. ir. AJB van Boxtel
Examiner(s)dr. RJC van Ooteghem
dr. ir. AJB van Boxtel

Language of instruction:

English

Assumed knowledge on:

MAT-14903 Mathematics 2; MAT-15003 Mathematics 3; BPE-10305 Process Engineering Basics or BPE-12806 Process Engineering Basics BT; BCT-20306 Modelling Dynamic Systems.

Continuation courses:

BCT-31306 Systems and Control Theory; BCT-31806 Parameter Estimation and Model Structure Identification.

Contents:

Besides a correct design or layout, good control systems are essential to guarantee that production systems operate and produce according the desired specifications. This course gives an introduction to classical control engineering approaches and discusses the standard methods and tools that are usually applied. The methods discussed in the course have a very wide application area. Examples are greenhouse climate, bioreactors, food production, robotics, environmental systems etc. This makes that the course fits in the curricula of several studies.
The course starts with a refresher on dynamic models of systems represented by differential equations. These differential equations will be solved by transformation to the Laplace domain. The system representation in the Laplace domain by transfer functions offers several new possibilities to interpret and to analyze the characteristics of systems and to design controllers.
Classical control is discussed and analyzed for the PID controller family. Controller tuning, stability and performance are central items to qualify the controllers, and methods to find these qualifications are introduced (response times, pole placement, root-locus and frequency response). At the end of the course the use of control systems is extended from single-input single-output systems to the more complex multiple-input multiple-output systems.
During the course theory will be explained by examples from practice, exercising problems, working on a design case and a computer practical on controller tuning as it would be done in a practical situation.

Learning outcomes:

After successful completion of this course students are expected to be able to:
- solve differential equations by using Laplace transformations;
- translate differential equations into transfer functions;
- derive stability and response characteristics from transfer functions;
- design, analyse, and tune PID controllers by using step response and root-locus methods;
- design, analyse, and tune PID controllers by using frequency response method, Bode, and Nyquist;
- improve the performance of controllers;
- analyse a process and design a controller configuration;
- use special types of controllers as feedforward, and cascade controllers;
- propose the controller structure for multiple-input multiple-output systems;
- apply these concepts during practical exercises and a design case.

Activities:

- lectures will be combined with exercises;
- computer instructions;
- computer practicals;
- design case;
- self study.

Examination:

Open book exam consisting of open questions (grade at least 5.5). Design case study resulting in a report which is graded. Observations during practicals. Oral examination at the end of each practical part (pass/fail). The final result is a 2/1 combination of the exam and the grade for the design case study. All practical exercises have to be passed.

Literature:

Lecture notes ' Control Engineering' available in the WUR-shop. Additional course material will be distributed during the course.

ProgrammePhaseSpecializationPeriod
Compulsory for: BATBiosystems EngineeringBSc4WD