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



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.)



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



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



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



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



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




Please contact us for more information.



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