COURSE SYLLABUS

Modelling and Control 7.5 credits

Modellbygge och reglering
First cycle, R0002E
Version
Course syllabus valid: Autumn 2021 Sp 1 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

 Education level First cycle Grade scale G U 3 4 5 Subject Control Engineering Subject group (SCB) Automation Technology Main field of study Engineering Physics and Electrical Engineering

Entry requirements

In order to meet the general entry requirements for first cycle studies you must have successfully completed upper secondary education and documented skills in English language and Kunskaper om differential equations and complex numbers, corresponding to the course M0031M Linear Algebra and Differential Equations or M0049M Linear Algebra and Differential Equations. Alternative: Alternative to completed courses can be corresponding knowledge acquired through work within the processindustry or electronics sector.

Selection

The selection is based on 1-165 credits.

Course Aim
The course aim is for students to acquire basic knowledge of feedback systems, their design and their use in control engineering applications.
The students should have the skills and knowledge to:
• demonstrate knowledge of basic methods and terminology of automatic control..
• demonstrate a basic knowledge of proven methods for designing controllers.
• demonstrate the ability to model and simulate dynamic systems.
• using mathematical methods to analyze the static, dynamic and frequency characteristics of dynamic systems.
• use standard methods for designing and analyzing controllers.
• demonstrate an ability to, in a team, design and implement controllers, as well as evaluate their performance for a real process.
• demonstrate the ability to, both orally and in writing, report on the practical work of modeling, design and implementation of closed loop control  for a real process.
• identify the usefulness of basic control methods and their limitations, and identify the need for more advanced methods.

Contents
Automatic Control is the science of controlling processes. A typical example is the cruise control in a car (In this case the car is the "process") that by varying the throttle ("input" to the process) will keep the speed ("output" of the process) constant despite hills and wind (so-called "disturbances"). Other common examples include companies in the process industry, where the aim is to control pressures and temperatures, and in communication where you want to control data rates and transmission powers.
Automatic Control is not limited to technical processes but can also be applied in areas such as economics and medicine. One example is the human body's, highly sophisticated control system that is able to keep the body temperature constant at 37 degrees Celsius despite variations in ambient temperature or to keep the body weight constant despite assiduous efforts to better nutrition and exercise.
This course is our first course in control theory and covers the classical methods of analysis and synthesis of feedback control for a wide range of technical processes. This course provides in-depth knowledge of the subject, sufficient for non-specialists in control theory to develop simple control systems. The is a necessary basis for continued studies in the subject.
During the course, the following methods and concepts will be discussed:
Introduction: Introduction to general control engineering concepts, such as static systems, dynamic systems, process, reference signal (setpoint), control signal, output signal, noise, open systems, measurement signal, the feedback, controller.
Dynamic models: Mathematical modeling of physical systems. Differential equations. Differential equations in state space. Linearization.
Simulation: Introduction to simulation of dynamic systems and the programs Regsim and Simulink.
Mathematical tools: Laplace transform and its properties. Transfer function. Static gain. Super-position principle. Block Diagrams. Specifications. Rise time. Settling time. Overshoot. Poles and Zeroes. Modeling based on emperical data.
Feedback systems: PID controller. Process disturbances. Steady state control error. Ziegler-Nichols methods. Lambda tuning. Stability Concepts.
Frequency domain: The frequency function. Frequency analysis. Bode plots. Asymptotic Bode plot. Stability. Stability Margins. Compensation. Sensitivity. Time delays.
Digital control: Approximation of continuous controllers. Sampling.

Realization
Each course occasion´s language and form is stated and appear on the course page on Luleå University of Technology's website.
The teaching consists of lectures, seminars and lab work. The lectures are pre-recorded and the seminars (voluntary) are held in a class room. The lab assignments are performed independently in groups of no more than 3 students and the results are demonstrated in writing and orally. The course is given in Swedish.

Examination
If there is a decision on special educational support, in accordance with the Guideline Student's rights and obligations at Luleå University of Technology, an adapted or alternative form of examination can be provided.

Remarks
Can not be combined with SMS027.

Examiner
Andreas Johansson

Transition terms
The course R0002E is equal to SMR051

Literature. Valid from Spring 2018 Sp 4 (May change until 10 weeks before course start)
Thomas, Bertil: Modern Reglerteknik med övningsbok . Liber

Course offered by
Department of Computer Science, Electrical and Space Engineering

Modules