430-6002/02 – Control Algorithms of Electric Controlled Drives (ŘAERP)
| Gurantor department | Department of Electronics | Credits | 10 |
| Subject guarantor | doc. Ing. Martin Kuchař, Ph.D. | Subject version guarantor | doc. Ing. Martin Kuchař, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory type B |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2015/2016 | Year of cancellation | |
| Intended for the faculties | FEI | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
After completion of this course, the student is able to define specific requirements for control of modern electrical drives and apply gained knowledge in practical design of the modern control of AC drive. Gained knowledge forms part of the knowledge of the researcher, who works in research and development of controlled AC drives and their applications in industry.
Teaching methods
Individual consultations
Project work
Summary
The course develops knowledge of electrical controlled drives. It focuses on increasing knowledge of modern control methods of AC drives with synchronous motors, asynchronous motors and switched reluctance motors. The course also focuses on sensorless control of AC drives and applications of artificial intelligence in control of AC drives, including artificial neural networks and fuzzy-logic systems. Course follows the new trends in research and development of controlled AC drives domestic and foreign research institutes.
Compulsory literature:
Recommended literature:
Leonhard W.: Control of Electrical Drives. Springer-Verlag Berlin Heidelberg New York, 1997,
ISBN 3-540-59380-2.
Novotny D. W., Lipo T. A.: Vector control and dynamics of AC drives. Clarendon Press, 1996,
ISBN 0-19-856439-2.
Miller T. J. E.: Electronic Control of Switched Reluctance Machines, Magma Physics Publishing and Clarendon Press Oxford, 1993,
ISBN 0-19-859387-2.
Boldea I., Nasar S.A.: Electric drives, 1999,
ISBN 0-8493-2521-8.
Vas P.: Artificial-intelligence-based electrical machines and drives. Oxford science publication, 1999,
ISBN 0 19 859397 X.
Norgaard M.: Neural networks for modelling and control of dynamic systems. Springer-Verlag London, 2000,
ISBN 1-85233-227-1.
Bose B. K.: Modern Power Electronics and AC Drives, The University of Tennessee, Knoxville, 2001, INBN 0-13-016743-6.
Symposium Proceedings, IEEE International Symposium on Industrial Electronics, Montreal, Canada, Vols 1-7, 2006,
ISBN 978-1-4244-0496-4.
Conference Proceedings, 12th European Conference on Power Electronics and Applications, Aalborg, Denmark, Vols 1-10, 2007,
ISBN 978-90-75815-11-5.
Symposium Proceedings, IEEE International Symposium on Industrial Electronics, Cambridge, UK, 2008,
ISBN 978-1-4244-1666-0.
Conference Proceedings, 13th European Conference on Power Electronics and Applications - EPE 2009, Barcelona, Spain, 2009.
Way of continuous check of knowledge in the course of semester
Supervision of specified project.
E-learning
Other requirements
There are not defined other requirements for student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
General model of three-phase AC motor with stator and rotor windings. Basic assumptions. Definition of complex space vectors of quantities. Models of different types of electric motors for control purposes.
Power semiconductor converters for AC drives. Modern control methods of converters. Converter models for control purposes.
Vector control of AC motors. Control structures controlled AC drives with AC motors.
Methods for evaluation of the rotor flux-oriented quantities for vector control AC motors.
Parameters adaptation of control structures of AC drives.
Electric with switched reluctance motors (SRM). SRM theory, control methods and control structures, methods of sensorles control of SRM.
Direct torque and stator control of AC motors. Classical and new control methods.
Application of artificial intelligence in control of electric drives. Fuzzy-logic systems and their applications in the control of electrical drives.
Basic theory of neural networks. Application of neural networks in control of electric drives.
Sensorless electric drives. Methods of estimation of mechanical angular velocity, properties, applications.
Estimator operating in open loop using the monitoring of stator currents and voltages, estimator with the reference model system (MRAS).
Observers. Kalman´s observer, Luenberger´s observer.
Estimator using artificial intelligence. Injection methods.
Trends in electrical controlled drives with AC motors.
Projects:
Project on the control of electrical drives in response to theme of doctoral thesis.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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