Macrosimulation of Electromechanical Systems Components

Major: Electrical Energetic, Electrical Engineering and Electromechanics
Code of subject: 8.141.00.M.010
Credits: 3.00
Department: Theoretical and General Electrical Engineering
Lecturer: Prof. Petro Stakhiv, Assoc. Prof. Oksana Hoholyuk
Semester: 2 семестр
Mode of study: денна
Learning outcomes: 1. Ability to demonstrate systematic knowledge of modern research methods in the field of power engineering, electrical engineering and electromechanics; 2. Ability to demonstrate in-depth knowledge in the chosen field of research; 3. Ability to apply knowledge and understanding to solve problems of synthesis and analysis of elements and systems characteristic of the chosen field of research; 4. Ability to apply a systematic approach, integrating knowledge from other disciplines and taking into account non-technical aspects, while solving theoretical and applied problems of the chosen field of research; 5. Ability to work effectively both individually and as a team; 6. Ability to independently perform experimental research and apply research skills; 7. Ability to assess the feasibility and feasibility of new methods and technologies in the synthesis of power, electrical and electromechanical systems; 8. Ability to argue the choice of methods for solving scientific and applied problems, critically evaluate the results and defend decisions; 9. Ability to treat the work responsibly and achieve the goal in compliance with the requirements of professional ethics. Method of teaching (classroom, distance
Required prior and related subjects: • Analytical and numerical research methods, • Modern control methods and their application in electrical systems, • Modern areas of research in the field.
Summary of the subject: Mathematical modeling, essence and stages. Dynamic systems and their modeling. Classical methods of macromodels creation. Application of the optimization approach to construct macromodels. Application of expert analysis to develop mathematical macromodels using the optimization approach. Selection and processing of information for the construction of macromodels. Selection of optimization methods for building macromodels. Criteria and methods for evaluating the effectiveness of optimization algorithms. Parallel computing in the process of building macromodels. Examples of building macromodels.
Assessment methods and criteria: • oral examination, results of laboratory work (40%) • final control: exam, written and oral form (60%)
Recommended books: 1. Stakhiv PG Discrete macromodeling in electrical engineering and related fields. Monograph / PG Stakhiv, Yu. Ya. Kozak, OP Gogolyuk; Nat. Lviv University. Polytechnic ”. - L .: Published by Nat. University “Lviv. Polytechnic University ”, 2014. - 260 p. 2. Kalman R., Falb P., Arbib M. Essays on the mathematical theory of systems: Per. with English –M .: Mir, 1971.– 400 p. 3. Lanne AA. Nonlinear dynamical systems. Synthesis, optimization, identification. - L .: VAS, 1985. - 240 p. 4. Lozynsky AA, Moroz VI, Paranchuk JS Solving problems of electromechanics in the environments of MathCAD and MATLAB packages: Textbook. - Lviv: State Publishing House. Lviv Polytechnic University, 2000. - 166 p. 5. Matviychuk YM Mathematical macromodeling of dynamical systems: theory and practice. – Lviv: Ed. center of Lviv. nat. University Ivan Franko, 2000. - 215 p. 6. Stakhiv PG Analysis of dynamic modes in electronic circuits with multipoles. – Lviv, Higher School, Lviv Publishing House. University, 1988–154 p.