universityof maribor faculty of electrical engineering and...
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University of MariborFaculty of Electrical Engineering and Computer Science
Smetanova ul. 17SI-2000 Maribor
SLOVENIAPhone: +386 2 220 70 00
Fax: +386 2 220 7272Web: http://www.feri.um.si/
E-mail: [email protected]
Faculty of ElectricalEngineering
and Computer ScienceSmetanova ulica 17
SI-2000 Maribor, Slovenia
CEEPUS- Network : CIII –BG-1103-01-1617 Kick of Meeting, Sofija, October,5-9,2016
Peter Planinšič and Rajko Svečko
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Research and education activities at the faculty ofElectrical Engineering and Computer Science in
Maribor
Laboratory for Signal Processing and Remote Control
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University of Mariborwww.um.si/en
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Key activities Education Research and development Innovations
Key figures University of Maribor is the second biggest and the second oldest
university in Slovenia, composed by 17 faculties, offersundergraduate and postgraduate Bologna study programmes.
About 2000 employers Around 18 000 students study at the University of Maribor. …
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Rectorat building in city Maribor
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Maribor and surrounding
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Faculty of Electrical engineering and Computer Sciencewww.feri.um.si/en
Key activities Education Research and development Innovations
History The Faculty of Electrical Engineering and Computer Science (acronym
FERI) has its origins in the two-year Junior Technical College foundedin 1959
Study programmes Bachelor’s Bologna programmes were introduced in the academic year
2007/2008. Two separate types of study programmes: academic andprofessional.
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The Faculty of Electrical Engineering and Computer Scienceat the University of Maribor (UM FERI)is one of the leading teachingand research institution in the field of Electrical Engineering and Computer Sciencein Slovenia.
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Research and education Academic and research work is conducted at the following institutes:
Institute of automation, Institute of electronics andtelecommunications,, Institute of power engineering, Institute ofrobotics, Institute of computer science, Institute of informatics,Institute of media communications, Institute of mathematics andphysics
Research Registered also as Research organization incorporating 14 research
units and 8 research programmes
Key figures About 300 employers About 2000 students in the academic year 2015/2016
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Teachers at CEEPUS III-programCII-BG-1103-01-16717
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Prof. Rajko Svečko ,PhD( coordinator at UM FERI):- Modern Control Theory- System Theory
Prof. Peter Planinšič,PhD:- Modern Signal Processing
Prof. Dušan Gleich,PhD:- Remote Sensing
Prof. Marjan Golob,PhD:- Nonlinear Systems Identification
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Contact persons
Technical contacts-Prof. dr. Rajko Svečko
Phone: (+386 2) 220 7140E-mail: [email protected]
-Prof. dr. Peter PlaninšičPhone: (+386 2) 220 7104E-mail: [email protected]
Administrative & Financial contact-Mrs. Suzana Pušauer
Phone: (+386 2) 220 7005E-mail: [email protected]
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Research and education activities in the Laboratory forsignal processing and remote control
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Rajko Svečko
Courses:-Control Theory-System Theory-Artificall inteligence in control
Researc Topics:-Control and system theory- Artifical inteligence in control- Robust contol theory
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Robust Control Theory
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Research interests:
Adaptation of the robust control paradigms in to a classical control approachesand structures as a: industrial PID, PI, PD structures.
Developing Mixed approach structure in light of robust theory with H∞, H2matrices. Mixed structure with state space framework and I/O transfer functions.
Design and analysis of the nonlinear controller structures with additionalperformances metrics as a; robust stability and time performances.
Multi objective optimization procedure of the control structure based ondifferent heuristic technique (Genetic Algorithm, Differential evolution, Particleswarm optimization etc..)
Design and implementation of the proposed algorithms on the embeddedsystem, MCUs with DSP capability and FPGAs.
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Robust pole assignment technique
The extended version of the pole assignment method with additional multi-objectiveoptimization technique over spectral polynomials has been developed. The methodprovides higher degree of freedom in terms of selecting controller structure, robust stabilityassessment and preselected time performance. The method was already tested ondifferent laboratory and industrial application.
( , )sK ( )mP s 0( )P sc yi
( , )sK
ind Extended pole assignment method withfree parameters:
0 01
0 0
( ) ( ) ( ) ( ) ( ),
( ) ( , ) ( ) ( ) ( ).
p
K k K ink
K K in
A s R s s B s L s C s
A s R s B s L s C s
Robust stability criteria and derivedspectral polynomial:
0
0
( ) 1 ( ) 1 | 0 .1 ( )MK PWK P
2 2 20, ( ) ( , ) 0,M in aM K bMC w B L w
Optimization space of the spectralpolynomial:
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Applications
Design of the modified disturbance observer on the servosystem.
DC-DC boost controller on FPGA.
0 2 4 6 8 10 12 14 16 181.25
1.3
1.35
1.4
1.45
1.5
1.55x 104 Izhodna napetost pretvornika [u0]
Čas [ms]
Nape
tost [
mV]
Napetost ne-reguliranega sistemaNapetost reguliranega sistema
0 2 4 6 8 10 12 14 16 180
500
1000
1500
2000
2500Tok dušilke [iL]
Čas [ms]
Tok [
mA]
Tok ne-reguliranega sistemaTok reguliranega sistema
Balanced robot with 3dof IMU.
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Ballbot with 9dof IMU and robust 2dof controller.
Ball on the plate with touch screen sensor.
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Peter PlaninšičDušan Gleich
Teaching Courses:- Signal processing-Machine vision-Communication in Automation- Machine vision-Advanced signal processing- Remote sensing
Key Research Topics:
- Signal and Image/Video Processing and Coding- Remote sensing using satellite SAR (Synthetic Aperture
Radar)- images analyses- Localization techniques using RF radars- Localization techniques usin wireless sensor networks (WSN)
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Research activities using Synthetic Aperture Radar (SAR)Images analysis
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Synthetic Aperture Radar satellite – TerraSAR-X (june 2007)
Height 5.0 mWeight 1.230 kgincl. payload mass 394 kgSAR Antenna 4.8 m x 0.7 m x 0.15 mResolution 1 m @ 5 x 10 km ScenePower consumption 800 W averageData storage 256 Gbit Datatransmission 300 Mbit/s X-BandRepetition rate 11 daysLife time 5 yearsAltitude 514 kmRepeat Cycle 11 daysMax. Resolution 1 m (HR spotlight)
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Satellite SAR-image of city Maribor
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Tandem-X (2010)
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11 days difference, Paris, January 11th and 22nd 2010
Repeating pass interferometry using TerraSAR-X, Doris
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Researc projects
1996-2000: Compression of complex-valued – focused - SAR data• Colaboration with German Aerospace Center
• Developed Wavelet based encoder2004-2005 Marie Curie felllowship at German Aerospace Center,OberpffafenhofenDAAD Fellowships in 2009 and 2012Projects:2005-2007: Remote sensing laboratory, MORS2007-2009: Complex-valued scene classification, ARRS2009-2011: Detection of wet zones using SAR, DEM2011-2013: Scene categorization, DLR2009-2014: Monitoring of hydropower station‘s canal using georadar, DEM2012-2013: Localization accuracy using GPS and SAR data2013-2015: EU projects and computer vision projects2016- Expression of interests H2020 Space Information Day, Ljubljana2016- Accepted NASA-project for ground SAR
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Research on SAR data categorization
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Ctegorisation of patch images with 200 x 200 pixels
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Research onSoil moisture estimation using wet zones detection with data fusion of GroundPenetrating Radar (GPR)-images and SAR-images
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Ground Penetrating Radar (GPR)Satellite SAR-image
GPR-image
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Research onChange detection using DEM
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The Main Concept of Change detection using DEM
Maciej Soja at all, „Forest Canopy Mapping from Tandem-X Interferometry and HighResolution Lidar DEM“, Tandem-X Meeting, 2013
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Tandem-X-images
Tandem-x, April 2013 Tandem-x, August 2014
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DInSAR
Phase difference Unwraped phase
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Research onMiniature Ground Synthetic Aperture Radar
-Developing localization techniques usingUSRP-Building Ground Synthetic Aperture Radar
-Bandwidth 800 MHz-Under development
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Education of Signal Processing and Remote Sensing:Ultrasonic SAR built by students
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Focused image
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Target Localization using Dual Tone Frequency Radar
Dušan Gleich,Marko Malajner,Peter PlaninšičIWSSIP 2015, London
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Transmittwo signalswithdifferentfrequency
Receive signalswith one receiver
Square receivedsignal
Filtering andphaseestimation
Radio Interferometric Positioning System
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Transmit two signals:
11
111
)(2cos()2cos()(
tffbtfats
dc
c
))2(2cos())(2cos()(
202
2022
tfffbtffats
dc
c
Square received sig nals:
)()()()( 2221
21
2 tmtststr
Lowpass filtering:
)(~))2(2cos())(2cos()(~
2110021
2110021
tmtfbbtfaatr
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Implementation using USRP platform Fc=1 GHz, Fd=150 kHz, Fo=120Hz Error TDOA 2.7 ns, Distance error 8 m Asynchronous communication
Eksperiments
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Thank you for your attention
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