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Control Technologies
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Summary of the Profile
General Description:
Objective(s) of a study programme:
To get general knowledge in processes and systems control technologies, modern automatic control theory and modern automation equipment. He/she is able to research control problems of technical systems and technological processes, formulate and solve theirs modelling, optimization and modernization of control algorithms tasks and adjust newest scientific achievements.
Learning outcomes:
Knowledge and Understanding:
A1 Has an in-depth knowledge and understanding of classical and modern principles and methods of automatic control.
A2 Has an in-depth knowledge of mathematical formalization methods of control problems in technical systems and technological processes, and modelling methods of control systems.
A3 Has critical awareness of processes in technical and technological systems, and methods of their control.
Engineering Analysis:
B1 Is able to analyse and evaluate control concepts of technological processes and technical systems in various branches of industry, is able to formulate problem of the control system development and apply the obtained knowledge and understanding in problem solving.
B2 Is able to develop mathematical models of processes and systems by exploiting all available information: theoretical knowledge, experimental and observation data, expert knowledge and indistinct information.
B3 Is able to find up-to-date information in the fields of control systems and particular process control, and apply it in solving practical control problems.
B4 Is able to recognize original solutions and apply innovative methods in problem solving.
Engineering Design:
C1 Is able to apply the obtained knowledge and understanding in solving control problems of technical systems and technological processes in various branches of industry taking into account the links of control systems with specific areas of application (chemical technology, biotechnology, food industry, energetics, environmental engineering, medicine, etc.).
C2 Is able to fuse the knowledge of various modelling and control methods for development of specific purpose hybrid models and control algorithms.
C3 Is able to formulate and solve optimization and optimal control problems of processes and systems.
C4 Is able to design the systems of automatic control, diagnostics and observation, develop the system operation algorithms and perform the system tuning.
C5 Is able to configure and to programme controllers, data acquisition, supervisory and distributed control systems.
Investigations:
D1 Is able to perform analytical analysis of control objects, design and carry out experimental investigations, process and evaluate experimental results, identify mathematical models.
D2 Is able to apply simulation methods for investigation of processes and systems.
D3 Is able to summarize investigation results and formulate conclusions.
Engineering Practice:
E1 Is able to integrate knowledge from different control engineering fields and handle complexity.
E2 Has a comprehensive understanding of the control system development and realization technologies for various technological processes and technical systems, and of their advantages and limitations.
E3 Knows ethical, environmental and commercial limitations and non-technical implications of engineering activities.
Transferable Skills:
F1 Is able to unction effectively as a leader of a team that can be composed of different disciplines.
F2 Is able to work and communicate effectively in national and international contexts.
F3 Is able to manage projects, plan and organize research and experimental investigations.
F4 Is able to prepare scientific publications, research reports and presentations.
F5 Understands responsibility for carried out engineering work (in context of law, professional ethics, health care, safety of human and environment).
F6 Is able to life-long learning and improvement of professional qualification.
Activities of teaching and learning:
Lectures; Lab works; Seminars (training in small groups); Exercises; Individual or team projects; Case studies; The required information search and generalization, reading books and papers, oral presentation;
Methods of assessment of learning achievements:
Oral or written examination; Colloquium; Tests by providing closed and (or) open-ended tasks; Task solving; Lab reports and defense; Oral and poster reports; Work (review of the literature, essays, etc.); Individual or team project report; The final work (project) and its defense.
Framework:
Study subjects (modules), practical training:
Systems Modelling and Identification; Information Technologies for Control Systems; Methodology of Scientific Research Work; Research Project 1; Research Project 2; Modern Environmental and Technology Management; Module of Control Systems (Data Processing Technologies; Digital Control Systems; Modern Automatic Control Theory; Computer-aided Control of Technological Equipment and Control Systems Communications; Design and Implementation of Control Systems; Synthesis of Programmable Controllers; Petri Nets for Control Systems; Design of Distributed Control Systems); Module of Intelligent Control Systems (Image Analysis and Recognition; Intelligent Methods for Control; Data Mining for Intelligent Systems; Modelling for Machine Vision Systems; Optimisation of Signals Supplying Chains; Methods of Nondestructive Control; Development of Signal Processing Equipment; Energy Converters of Renewable Energy Sources); Module of Mechatronic Systems (Optimum and Adaptive Control of Electromechanical Systems; Digital Control Systems; Integrated Systems of Mechatronics; Control Systems Communications; Control Systems of Technological Equipment, their Reliability and Diagnostics; Signals and their Flow in Systems; Robotics; Transformation of Electrical Energy and Process Control); Module of Process Control (Signal Processing in Control Systems; Process Visualization Systems; Industrial Communication Networks; Experimental Analysis of Technological Processes; Hybrid Systems for Process Monitoring and Control; Modelling and Control of Biotechnological Processes; Process Optimization and Optimal Control; Programmable Process Control Systems); Students are able to choose additional practice; Final Degree Project; Students are studying 15 subjects.
Specialisations:
Optional courses:
Optional Subjects 2016, if students choose specialist studies: in 1st semester students are able to choose 1 subject of 6 credits. If students choose interdisciplinary studies, students can choose expertness blocs ( in 1st, 2nd and 3rd semester students are able to choose one subject of 6 credits, 18 credits in total during studies)
Distinctive features of a study programme:
A graduate has knowledge in the control technologies of processes and systems, modern theory of automatic control and modern automation equipment, and is able to analyse and investigate control problems of systems and technological processes, as well as is able to formulate and solve tasks of modelling, optimization and control algorithm development.
Access to professional activity or further study:
Access to professional activity:
The graduate can seek employment in various industrial, transport, service enterprises and design organizations and carry research, design, computerized control, implementation and other engineering work of manufacture and technological processes of automation systems.
Access to further study:
S/he has access to the third cycle studies.
