Advanced Control of Elecrical Machines
General
- Code: 76.05
- Semester: Optional G1-G2 7th
- Study Level: Undergraduate
- Course type: Optional
- Teaching and exams language: Ελληνικά
- The course is offered to Erasmus students
- Teaching Methods (Hours/Week): Theory (2) / Exercises (1)
- ECTS Units: 4
- Course homepage: https://exams-sm.the.ihu.gr/enrol/index.php?id=53
- Instructors: Ilioudis Vasilios
Course Contents
Theoretical section:
· Introduction to Wireless Networks · Introduction to Vector Control (Vector Control or Field Oriented Control-FOC), Principle of Operation of Vector Control,
· Reference Systems (abcs, αb0s, dq0s and γδ0s), Clark and Park Transforms),
· Current / Torque Control and Flow Control, Vector Control Classification (Indirect FOC and Direct FOC),
· Vector Control of Asynchronous and Modern Machines (Speed and Torque Control),
· Advantages of Vector Control (Response and Strength of Control; per Ampere (MTPA), Speed Range Expansion · Flux or Field Weakening,
· Electric Power Converters, 3-phase Inverters, Sinusoidal PWM (Simulink Model of Inverter),
· Space Vector PWM (SVPWM), Comparison of Space Vector and Sinusoidal PWM. · State Observers, Sensorless Control,
Tasks – Practice Exercises:
· Analysis of the structure of the Vector Control (Matlab / Simulink),
· Park Transformation and Inverse Park Transformation (Matlab / Simulink),
· Simulation of Observers of Electrical Engine Conditions (Matlab / Simulink),
· Flow and Torque Estimation, Angular Position and Current Estimation (Matlab / Simulink).
Educational Goals
The aim of the course is to provide the student with the necessary knowledge regarding the principles of operation of vector control as well as its application in the control of AC electric machines.
Knowledge:
– Understanding the design, operation and control methods of electric motors through transformations between reference system variables (votage, current, fluxe, back-EMF).
– Understanding the applications of vector control in the production process, in industry and in general in motion and energy conversion applications.
Skills:
– Acquisition of design and calculation of simple electrical and mechanical equivalent mathematical models of electric machines.
– Acquisition of fluency in the design of controllers and diagnosis of problems of estimation of non-measurable variables of the electric motor.
– Acquisition of structure analysis of the simple observers.
– Analysis and presentation of the response and overall performance of the control based on simulation results.
– Design and implementation of the advanced vector control methods for AC electric motors.
General Skills
Research, analysis and synthesis of data and information, using corresponding technologies, Adaptation to new situations, Independent work, Teamwork – distribution of responsibilities, Intellectual competences, Societal competence
Teaching Methods
Lectures, Exercises, Online guidance, Projected Presentations, E-mail communication, Online Synchronous and Asynchronous Teaching Platform (moodle).
Students Evaluation
Assessment Language: English / Greek
The final grade of the course is formed 100% by the grade of the theoretical part and the intermediate examination or project.
1. The written final examination of the theoretical part may include:
Solving of application problems, short answer questions, comparative evaluation of the theory elements etc.
2. The continuous evaluation of the theoretical knowledge that were acquired in the course by the method of project including the modelling and vector control of a 3-phase electrical machine.
Recommended Bibliography
1. Analysis of electric machinery and drive systems, Paul Krause, Oleg Wasynczuk, Scott Sudhoff, Steven Pekarek: 3rd Edition, © 2013, IEEE.
2. Electrical Machine Drives Control: An Introduction, Juha Pyrhönen, Valéria Hrabovcová, R. Scott Semken, ©2016, John Willey & Sons Ltd.
3. Electric Motors and Drives: Fundamentals, Types and Applications, Austin Hughes, 3rd Edition, ©2006, Austin Hughes. Published by Elsevier Ltd.
4. Motor Handbook, Fang Qi, Daniel Scharfenstein, Claude Weiss (Institute for Power Electronics and Electrical Drives, RWTH Aachen University), Clemens Müller, Ulrich Schwarzer (Infineon Technologies AG), Version 2.1, © 2019, infineon, iSEA, RWTH Aachen University.