Presentation E2
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8/3/2019 Presentation E2
1/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
JoefJoef StefanStefan InstituteInstitute
The Institute is involved in a wide variety of fields of both
scientific and economic interests as e.g.
physicschemistry
biochemistry
electronics and information technology
reactor techniques
energy
environmental protection
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8/3/2019 Presentation E2
2/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Department of systems and controlDepartment of systems and control
The domain of work
CONTROL OF SYSTEMS AND PROCESSESCONTROL OF SYSTEMS AND PROCESSES
(cybernetics, informatics, automation)(cybernetics, informatics, automation)
FinancingFinancing
60 - 80% Ministry of Higher Education, Science and Technology
20 - 40% other sources (industry, international projects, ...)
StaffStaff
about 25 people
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8/3/2019 Presentation E2
3/18
Joef Stefan Institute
Department of Systems and
Control
Presentation PRACTICEPRACTICETHEORYTHEORY
MissionMission
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8/3/2019 Presentation E2
4/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Current areas of workCurrent areas of work
process control and optimization
detection and localization of faults
computer integrated production
non-technical aspects of automation and IT systems
device and product development
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8/3/2019 Presentation E2
5/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Process control and optimisationProcess control and optimisation
General purpose control methods and algorithms
non-linear control
predictive controlself-tuning and adaptive PID regulation
Control and optimization of waste-water treatment plants
Development of process control tools
Process control applications
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8/3/2019 Presentation E2
6/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Data for GP model with
incorporated local models
samples of
systems
response
local models
GP model identificationGP model identification
Nonlinear dynamic system identification with GP
models (Gaussian processes models):
small number of parameters
measure of confidence in its prediction (used in
e.g. predictive control) prior knowledge incorporation (e.g. linear local
models)
Kristjan Aman
0 100 200 300 400 500 6006
8
10
12
14
16
18
20
22
24
t(s)
h2
(cm
)
LMGP model simulation on validation signal
mean-2W
mean+2W
predicted mean
process
GP model simulation:
possible use of confidence in prediction
GP model
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8/3/2019 Presentation E2
7/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Control of wastewater systemsControl of wastewater systems
New on- line sensors
Mathemat ica lmode ls andsimulation
Adva nced c ontrol algori thms
Re sult: better effluen t quality
0 20 40 60 80 100 120 140 1600
5
10
15
20
25
30
35
NH4-N measurementsNH4-N mod el
PI controlAdvanced c ontrol
Effluent NH4-N
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8/3/2019 Presentation E2
8/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Detection and localization of faults inDetection and localization of faults in
technical systemstechnical systems
new techniques for approximative inference for thelocalization of faults
robust diagnosis based on analytical models and thequantification of the modelling error
supervision of control loops
advanced signal analysis and processing
design and implementation of diagnostic systems inindustrial practice
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8/3/2019 Presentation E2
9/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Fault detection in mass production ofFault detection in mass production of
electric motorselectric motors
Database
Diagnostic
result
Measurements
Changes in
statistics
of quality
parameters
Database of
extraordinary events
in production line
List of themost probable
faults
History review
Creating
Inqui
ry
Production
line control
supportFeature
extraction
Statistic
quality
control
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8/3/2019 Presentation E2
10/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
DOMELDOMEL QQuality control celluality control cell at the end of the production lineat the end of the production line
for vacuum cleaner suction unitsfor vacuum cleaner suction units
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8/3/2019 Presentation E2
11/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Brain, cardiac and respiratoryBrain, cardiac and respiratory
causalities in ancausalities in anaeaesthesiasthesia
Nonlinear d ynamics In formation t heory
dr,c 0
t
1
-1
R C
HUEFK
B
Signals
SubjectAnalysis
Model
Goal:Anaesthesia monitoring
system based on EKG,
electroencephalogram (EEG) and
respiration
Directionality index
Causal relations
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8/3/2019 Presentation E2
12/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Computer integrated productionComputer integrated production
development of conceptual models for integration of
the process and production levels of control
production scheduling
production decision support system
study and use of the concept of domain engineering
automation of the process control SW development
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8/3/2019 Presentation E2
13/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Production management in process
industries by using Key Performance
Indicators as reference values
Working areas:
- Specification of relevant KPIs with taking into account
cost issues of production management
- Design of a Production Management Decision Support System
- Implementation of the Feedback Paradigm in Production
Management
-Synthesis of a Production Management System
On-line presentation andanalysis of production data
Simulator of a batch production plant
Closed-loop Scheme of Production Control
DSSPRODUCTION
PROCESES
Internal closed-loops
MANAGEMENT
LEVEL
marketissues
state ofcompetition
goals
set-points for
technological
processes
energy
and raw
materials
strategic
decissions
WHAT?
WHEN?
HOW MUCH?
orders
KPIproduction
effectiveness
measurements
oftechnological
parameters
Closed-loop at the productionmanagement level
product
qualityINTERFACE
conversion
into internal
reference
points
+-
+-
INTERFACE
reference
points for
technological
processes
economical
issuesPRODUCTION LEVEL
disturbances
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8/3/2019 Presentation E2
14/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
AvtomatAvtomatic scheduling of batchesic scheduling of batches
Problems:Unknown duration of batches
No-wait constraints
Common production resources
uniform production
67
15:0014:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00
80 78
8. 10. od 14.00 do 22.00
12 sar? na dan - 90 ton/dan
76
94
76
80 79 80
73 68 78
31 74 81 71
8984 91 99
22.02 A
22.02 B
22.02 C
22.02 D
22.08 A
22.08 B
nivoji 65%, akata B in Cstart A 9min kasneje od napovedi
, blokada zaradi 22.01A
Ni bilo materiala, hidrolizaje bila ob 22. 00
popolnoma prazna
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8/3/2019 Presentation E2
15/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
Device and product developmentDevice and product development
development of specific electronic modules
development of electronic (microprocessor) andsoftware support for various sensors
development of customized (electronic) measuringsystems
development and design of control devices andsystems
development of advanced and non-standard computer-supported devices
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8/3/2019 Presentation E2
16/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
SPACSPAC Special ProcessSpecial Process
Applications CoApplications Co--processorprocessor
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8/3/2019 Presentation E2
17/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
CARDIOSIGNALSCARDIOSIGNALS-- a signal conditioninga signal conditioning
system for the acquisition of physiological signalssystem for the acquisition of physiological signals
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8/3/2019 Presentation E2
18/18
Joef Stefan Institute
Department of Systems and
Control
Presentation
International cooperationInternational cooperationBilateral cooperation:Bilateral cooperation:
Czech republic
Slovak republic
Hungary
Portugal
Macedonia
EEuuropean projects:ropean projects:
TEMPUS
COPERNICUS
COST5. FP
6. FP
Industry:Industry:
Mitsubishi
Electrolux
PlasmaIt