Course detail
Control Theory
FEKT-BPC-RREAcad. year: 2021/2022
Basic terms is Control Theory.Feedforward and feedback control.Simple on-off and proportional control (continuous and discrete type).Stability of feedback systems.Steady state and dynamics errors. PID controllers. Systems with multi feedback loops.Digital PSD controllers.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
70 points for final written exam
Course curriculum
2. Stability definitions. Stability of continuous and discrete time systems. Hurwitz, Routh and simplified Nyquist criteria of stability.
3. Simple controllers: P, I, PI, PD and PID types. Quality of control, dynamic parameters, cost functions.
4. Controller design methods. Method of optimal time response, Ziegler-Nichols method.
5. PSD control. Special properties of discrete time control. Approximation of sampler and hold circuit by time-delay.
6. Control Systems with additional loops. Cascade control. Smith predictor.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Elearning
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Stability definitions. Stability of continuous and discrete-time systems. Hurwitz, Routh and simplified Nyquist criteria of stability.
3. Simple controllers: P, I, PI, PD, and PID types. Quality of control, dynamic parameters, integral criteria.
4. Controller design methods. Method of optimal time response, Ziegler-Nichols method.
5. PSD control. Special properties of the discrete-time control. Approximation of sample and hold circuit by time-delay.
6. Control Systems with additional loops. Cascade control. Smith predictor.
Exercise in computer lab
Teacher / Lecturer
Syllabus
2. System representation in MATLAB. Modeling, responses and interconnection of systems.
3. Simulink basics. Model creation, basic elements, setting simulation parameters, running simulation.
4. Controller design, project assignment.
5. Project presentations.
6. Project presentations.
Elearning