Objectives and competences
Objectives:
To understand the basic concepts of control and their application in energy systems.
To acquaint oneself with key methods and techniques for controlling energy systems/processes.
To develop skills for designing, analyzing, and optimizing control in energy systems.
To cultivate analytical and practical skills for planning, developing, and maintaining control systems in the energy industry.
To explore the role of control in achieving efficient and reliable operation of energy systems.
Competences:
To develop the ability for students to independently and creatively solve engineering problems.
Upon completing the course, students will be capable of analyzing, designing, and optimizing control systems and understanding their role in ensuring the stability and efficiency of energy systems/processes.
Content (Syllabus outline)
1. Introduction to Energy Systems Control Engineering
Basic concepts of control: the difference between control and guidance.
2. Mathematical Foundations of Control
Differential equations and transfer functions.
Laplace transformation in the context of control.
3. Analysis of System Dynamics and Stability
Nyquist diagram for stability assessment.
Bode diagrams for frequency analysis.
Routh-Hurwitz criterion for stability determination.
Lyapunov stability criterion and its use in stability assessment.
Simulation tools for stability analysis - RL method.
4. Transition from Input-Output Description to State-Space Description
Advantages of using state-space description in analysis and synthesis of control.
Determination of observability and controllability of the system.
The importance of observability and controllability in designing control systems.
Strategies for improving system observability and controllability.
Using simulation tools to transition the system between different descriptions.
5. Discretization of Continuous Systems
The significance of sampling and Nyquist theorem.
Z-transform and its properties.
Using Z-transform in the analysis and synthesis of control systems.
6. Fundamentals of Control Algorithms
Classical control algorithms: P, PI, PD, PID, Lead, Lag, etc.
Design of P, PI, PID controllers.
Design of Lead, Lag, and Lead-Lag controllers.
Designing controllers based on performance criteria like ITAE, IAE, ISE.
Control system design and tuning.
State-space controller design.
Analyzing the impact of controllers on system response.
Using Matlab/Simulink software for controller design.
7. Development of Mathematical Models for Energy Systems/Processes
Using simulation tools for analysis and control design.
Model validation and practical examples.
Analyzing case studies from various energy industries.
Design, implementation, and evaluation of control in real applications.
Learning and teaching methods
Lectures (frontal teaching format without student involvement, frontal teaching format with student involvement).
Work with examples (frontal teaching format with student involvement).
Presentation of visual, video, and animation materials (frontal teaching format with student involvement).
Homework assignments (independent solving of basic control problems).
Intended learning outcomes - knowledge and understanding
Knowledge and understanding:
Basic understanding of control and related concepts.
Knowledge of the mathematical foundations of control, including differential equations, transfer functions, and Laplace transformation.
Familiarity with tools for analyzing system stability, such as Nyquist and Bode diagrams.
Understanding of system discretization and Z-transform.
Knowledge of transforming a system into state-space representation.
Understanding of observability and controllability concepts.
Familiarity with classical control algorithms such as P, PI, PD, and PID controllers, including their design.
Knowledge of designing Lead, Lag, and Lead-lag controllers.
Utilization of simulation tools for the analysis and design of control systems.
Practical experience in solving case studies and challenges in the regulation of energy systems.
The expected knowledge equips students to master control in energy systems and tackle practical problems in this field.
Intended learning outcomes - transferable/key skills and other attributes
Transferable/key competences and other abilities:
Ability to model energy processes and analyze system dynamics.
Skills in designing control systems for various energy applications.
Practical experience with simulations and control devices.
Knowledge of safety and sustainability aspects of control in the energy field.
Readings
D. Dolinar: Dinamika linearnih sistemov in regulacije, Fakulteta za elektrotehniko, računalništvo in informatiko, Maribor, 1997.
J. Ritonja: Regulacijska tehnika, zbirka vaj, Fakulteta za elektrotehniko, računalništvo in informatiko, Maribor, 2004.
R. Svečko, Diskretni regulacijski sistemi, Fakulteta za elektrotehniko, računalništvo in informatiko, Maribor, 2004.
B Zupančič, Zvezni regulacijski sistemi – I. in II. del, Fakulteta za elektrotehniko, Ljubljana 1995
Dorf, R. C., & Bishop, R. H. (2016), Modern Control Systems, Pearson
Khalil H.K.: Control Systems: An Introduction. Michigan Publishing., 2023
K. J. Astroem and R. M. Murray. Feedback Systems, An introduction for scientists and engineers. Princeton University Press, 2008. E-gradivo
B. Zupančič: Avtomatsko vodenje sistemov, Založba FE in FRI, Ljubljana, 2011
Additional information on implementation and assessment Method (written or oral exam, coursework, project):
calculation exam
oral exam
Notes:
Oral exam (theory)
