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    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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    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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    Joef Stefan Institute

    Department of Systems and

    Control

    Presentation PRACTICEPRACTICETHEORYTHEORY

    MissionMission

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    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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    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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    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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    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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    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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    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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    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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    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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    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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    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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    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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    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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    Joef Stefan Institute

    Department of Systems and

    Control

    Presentation

    SPACSPAC Special ProcessSpecial Process

    Applications CoApplications Co--processorprocessor

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    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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    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