Digital Processing in Mechatronics II

Course description

Modern architectures of microprocessor systems. Digital signal processors. Hardware and software development tools. Operating systems for real time applications. Program languages. Discrete transfer functions, algorithms and programming of control elements (transcendental functions, integrators, derivations, controllers…). Digital signal analysis, spectral analysis and Fast Fourier transform (DFT, FFT). Theoretical concept and realization of digital filters. Practical applications of microprocessors on power electronics systems: AC drives, active power filters, transport systems.

Course is carried out on study programme

Elektrotehnika 2. stopnja

Objectives and competences

Objective of the course in to get the students acquainted with modern microprocessor systems that can process the signals in real time and control high dynamics mechatronic systems.

Learning and teaching methods

Oral lectures and mandatory laboratory exercises on laboratory microprocessor models.

Intended learning outcomes

Knowledge and understanding:

The student will learn how to program microprocessor for fast application in a real time. He will understand the advantages and limitations in realization of processor controlled systems of power electronics that form a mechatronic system. He will also get acquainted with modern tools in this field.

 Application: A strong connection between theory and praxis is emphasized. The student will test the acquired knowledge on a real processor model that is common in the industrial praxis.

Reflection: The student will have the possibility of connecting the mathematical background, its translation into computer algorithms, and practical application in the field of real time signal processing, as in industrial applications.

Transferable skills: This subject includes application of highly sophisticated and fast changing microprocessor technics. Therefore, the student has to follow the changes through specialized literature and internet, which is useful for his future engineering work.

Reference nosilca

  1. AMBROŽIČ, Vanja, ZAJEC, Peter. Električni servo pogoni. izd. V Ljubljani: Slovensko združenje elektroenergetikov CIGRÉ-CIRED, 2016.
  2. KONTARČEK, Andraž, NEMEC, Mitja, BAJEC, Primož, AMBROŽIČ, Vanja. Single open-phase fault detection with fault-tolerant control of an inverter-fed permanent magnet synchronous machine. Automatika, ISSN 0005-1144, 2014, vol. 55, no. 4, str. 474-486.
  3. DROBNIČ, Klemen, NEMEC, Mitja, FIŠER, Rastko, AMBROŽIČ, Vanja. Simplified detection of broken rotor bars in induction motors controlled in field reference frame. Control engineering practice, ISSN 0967-0661. [Print ed.], Aug. 2012, vol. 20, no. 8, str. 761-769.
  4. MAKUC, Danilo, DROBNIČ, Klemen, AMBROŽIČ, Vanja, MILJAVEC, Damijan, FIŠER, Rastko, NEMEC, Mitja. Parameters estimation of induction motor with faulty rotor. Przeglęad Elektrotechniczny, ISSN 0033-2097, 2012, rok 88, 1a, str. 41-46, ilustr.
  5. NEMEC, Mitja, DROBNIČ, Klemen, NEDELJKOVIĆ, David, FIŠER, Rastko, AMBROŽIČ, Vanja. Detection of broken bars in induction motor through the analysis of supply voltage modulation. IEEE transactions on industrial electronics, ISSN 0278-0046. [Print ed.], Aug. 2010, vol. 57, no. 8, str. 2879-2888.

Study materials

  1. Pisno gradivo – prirejeno za predmet
  2. Ambrožič, Vanja: Mikroračunalniki v močnostni elektroniki, Fakulteta za elektrotehniko, Ljubljana, 2001
  3. S. M. Kuo, B. H. Lee, Real-Time Digital Signal Processing, John Wiley, 2001
  4. Ambrožič, Vanja, Zajec, Peter. Električni servo pogoni. 1. izd. V Ljubljani: Slovensko združenje elektroenergetikov CIGRÉ-CIRED, 2016.
  5. Steven W. Smith, The scientist and engineer's guide to digital signal processing, 1999, California Technical Pub.

Bodi na tekočem

Univerza v Ljubljani, Fakulteta za elektrotehniko, Tržaška cesta 25, 1000 Ljubljana

E:  dekanat@fe.uni-lj.si T:  01 4768 411