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.
SODELUJMO!
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