PRODUKTI

Controller Tuning tool

Purpose of Controller Tuning is to:

  • set the controller parameters for operational state of the process
  • for some APC’s, manual setting is not feasible:
    o   difficult to determine parameters – process model must be known
  • reduce amount of work and time necessary for designing – setting up the control application
  • reduce the depth of knowledge necessary in using the APC:
    o   target objective: plug & play functionality

 

IDR BLOK’s Controller Tuning Tool:

  • automatically calculates the parameters and recommends the most suitable controller structure
    o   calculation is  based on a specified process model
  • various tuning methods for PID and Smith controllers:
    o   Area method
    o   Ziegler-Nichols
    o   CHR
    o   Balanced method
  • Basic and Advanced tuning method for PFC controllers
  • every method can tune the controller in the reference-tracking mode or the disturbance elimination mode
  • the tuning results:
    o   Kp, Ti, Td and Kd for PID,
    o   Kp, Ki, Kd, Tf_MV and Tf_SP for SMITH and modular PID,
    o   Trbf and H for PFC.

 

Tuning example on real process with PID/M controller

The PID/M controller controls water height in 2nd tank in two tanks system.

Controller tuning tool

 

Please contact us for more information.

idr@inea.si

 

Advanced process control (APC) algorithms

IDR BLOK offers standard and advanced control algorithms.

 

Standard process control algorithms:

  • ON/OFF controller
  • P3P controller
  • PID controller
  • position PID
  • velocity PID
  • ENTHALPY controller

1.

 

Advanced process control algorithms:


Modular PID

o    PID with additional input and output filters

  • Set Point filter
  • Manipulative Value filter

o    suitable for various control structures (cascade, etc.)

2.

 


Predictive functional controllers – PFCs

 

o    PFC SF (for first order processes), PFC SS (for second order processes), PFC INT (for integral processes)

o    uses a process model to predict and optimize the controller output (MV)

o    control quality depends on the accuracy of the estimated process model

o    more robust than PID

o    easy tuning with Controller Tuning tool

o    suitable for high delayed processes

3.

 


Smith predictor

 

o    PID and a process model with the delay

o    most effective for controlling the delayed processes

o    efficiency of a feedback control using a Smith predictor increases with increasing delay and the order of the process

4.

 


Fuzzy logic controller

 

o    block performs the function of fuzzy logic

o    Fuzzy Logic Controller Designing Tool – specific user interface for FLC design and testing

o     Sugeno 0-order FLC type

o    up to 2 inputs, 1 outputs

o    triangular membership functions for each input

o    most effective for controlling non-linear processes

5.

 


Fuzzy Gain Scheduling Controller – FGSC

 

o    executes the position PID algorithm with fuzzy scheduling of local controller parameters

o    one-dimensional fuzzy scheduling with up to 10 local controllers

o    scheduling variable can be PV, SP, MV or measured disturbance

o    for high nonlinear processes

6.

 


Explicit parametric Model-based Predictive Controller – EMPC

 

o    algorithm for the search of the active region in the state-space partition of the expanded model

o    partition should be determined in advance using Matlab software

o    up to 8 inputs (state vector x typically formed using Kalman filter) and two outputs (change of MV signal)

o    soft and hard limitations on PV can be used

o    significantly improve the control of processes which require control very near the process limit or when the process is not allowed to get beyond a certain limit

7.

 

 

Please contact us for more information.

idr@inea.si

 

Hidravlični regulator

Univerzalni hidravlični pozicionirni sistem z modulom SPAC20-PA4

  • Kontrola pomikov v odprti ali zaprti regulacijski zanki
  • Do 16 kanalov na voljo za pogon servo/proporcionalnih ventilov
  • Hidravlični regulator pomika z visoko natančnostjo in ponovljivostjo pomikov
  • Enostavna kalibracija celotnega hidravličnega sistema (vključuje ventil, cilinder in linearni pozicijski senzor)

Regulator debeline plastenke

Parison regulator debeline stene za pihano plastiko

  • Debelina stene plastenke definirana z uporabo profilov z 128 točkami.
  • Gladka interpolacija med točkami profila.
  • Hitra regulacijska zanka z časi izvajanja 80/160 µs.
  • Za zvezne in akumulatorske tipe strojev pihane plastike.
  • Uporaba tehnologije zaslonov na dotik omogoča enostavno in efektivno načrtovanje profilov.

Temperaturni regulator SPAC20-ATHC16/32/64

SPAC20 je visoko zmogljiv koprocesorski modul za Mitsubishi MELSEC AnS in QnAS serijo programabilnih logičnih krmilnikov (PLK).

Namenjen je izvrševanju numerično intenzivnih izračunov za posebne procesne aplikacije, kot so:

  • Temperaturni regulatorji za ekstruderje – do 64 con,
  • Regulacija debeline stene pihane plastike,
  • Hidravlični regulator,
  • Splošno namenski, multivariabilen digitalen regulator.

Namenska programska oprema za SPAC20 modul – ATHC je zasnovan za regulacijo do 64 dvojnih samonastavljivih PID regulacijskih zank. Povezava SPAC modula na elemente temperaturnih con (termoelemente, grelnike, hladilnike) je narejena s standardnimi Melsec PLK V/I moduli, npr. A1S68TD, A1SY80, A1SY81, itd. Vhodi – izhodi modula SPAC20 v tem primeru niso uporabljeni in so na voljo za druge potrebe, kot je kontrola vrtenja glavnega motorja, meritev taline, itd. Ti so dosegljivi preko vmestnega (buffer) pomnilnika, tako kot pri standardnih MELSEC modulih.

Modul SPAC20-ATHC omogoča regulacijo do 64 ekstruderskih con, odvisno od tipa modula:

  • SPAC20-ATHC16 – za 16 ekstruderskih temperaturnih con
  • SPAC20-ATHC32 – za 32 ekstruderskih temperaturnih con
  • SPAC20-ATHC64 – za 64 ekstruderskih temperaturnih con

Samonastavljivi temperaturni regulator, narejen s SPAC20-ATHC modulom je načrtan za optimalno temperaturno vodenje ekstruderjev. Vsaka cona omogoča regulacijo dvojne regulacijske zanke – gretje in hlajenje. Gretje je ponavadi realizirano z električnimi grelci, medtem ko je hlajenje lahko različnih tipov. Uporabnik lahko izbira med sledečimi tipi hlajenja: proporcionalno hlajenje z ventilatorjem, dvotočkovno ventilatorsko hlajenje (ON/OFF), vodno hlajenimi sistemi in hlajenje z oljem.

Samonastavljivi temperaturni regulator ima dve funkcionalni lastnosti: prednastavljivo in samonastavljivo funkcijo parametrov. Obe funkciji sta uporabljeni za optimizacijo regulacijskih parametrov brez intervencije operaterja.

Process Identification Tool

Purpose of Process Identification is to obtain mathematical model of the process from the measurements.

 

With process model we can:

  • fast, secure and simple simulate real process behavior in different situations,
  • tune controllers,
  • process model must be known for some APC algorithms,
  • etc.

 

The algorithms in IDR BLOK’s Process Identification Tool can identify different types of processes:

  • basic 1st and 2nd order with delay
  • integrating 1st and 2nd order with delay

 

Processes can be identified as:

  • Open-loop
  • Closed-loop
  • custom processes

 

Identification is based on the method of minimum squares.

 

Results of Identification are:

  • process gain – Kpr
  • sum of model time constants – a1
  • product of model time constants – a2
  • time delay – td

 

Process measurements can also be imported as .txt files into IDR BLOK.

 

Process Identification example

 

process identification example

 

Please contact us for more information.

idr@inea.si

 

 

SODELUJMO!

Univerzalne rešitve na področju računalniškega vodenja v energetiki in industriji, ki bi ustrezala vsem podjetjem, ni! Ker je naročnik naš partner in ker sodelujemo s podjetji iz različnih panog, razumemo vaše potrebe in znamo izdelati vam prilagojeno rešitev.

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