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Predictive Control for Reactor (PCR) / Predictive Functional Control (PFC)
     

Predictive Control for Reactors (PCR) Software Package

The Predictive Control for Reactors (PCR) is a set of Model Predictive Control blocks made by C & Matlab / Simulink. PCR was developed by ADERSA and it is now owned and supplied by SHERPA Engineering.
The control algorithm for PCR is based on PFC technology, as detailed below.

JGC provides PCR/PFC-related engineering and implementation services, based on extensive knowledge and experience in process engineering.

 
       
      Targets  
         
      Systems that do not respond well to controllers like PIDs may benefit from control by PCR/PFC, especially in conditions where:  
     
  • Time delay is a significant factor in system responsiveness
  • The system is an integrator (fluid levels, etc.)
  • Disturbance variables are measured
 
      Chemical reactors are a specific target of PCR/PFC since PCR/PFC was originally designed to control reactor temperature. PCR/PFC control blocks are made to fit with the most common configurations of heat exchangers.  
         
      On the other hand, PCR/PFC is well adapted for any other kind of process, including:  
     
  • Processes requiring better control: better stability, reduction of standard deviation (quality control, temperature, humidity control, concentration, etc.)
  • Processes in which the movements of the actuators should be minimized
 
         
       
         
      Examples of PCR/PFC Application  
         
     
Company Process Platform
BAYER (FRA) Reactor (polymer) FOX IAS
BASF (BEL) Reactor (polyol) SIEMENS Teleperm
ATOCHEM (FRA) Distillation column TDC 3000 (DCS)
SANOFI (FRA) Reactor (toluene & monom.) Schneider Quantum (PLC)
Steel Industry (FRA) Mould level control Schneider Quantum (PLC)
REPSOL/YPF (ARG) Level control distillation column FOX IAS
Food Industry (FRA) Tunnel furnace Schneider Quantum (PLC)
LUBRIZOL (FRA) Reactor Fisher-Rosemount
PROVOX (DCS)
Steel Industry (FRA) Tunnel furnace SIEMENS PLC S7 (PLC)
Mitsui Chemicals
(Japan)
Reactor (Polyol) Omron (PLC)
REPSOL/YPF (ARG) Temp. control distillation column FOX IAS
Food Industry (HUN) Dryer Schneider Quantum (PLC)
Steel Industry (FRA) Steam generator Schneider Quantum (PLC)
REPSOL Quimica
(ESP)
Reactor (polyol) TDC 3000 (DCS)
Steel Industry (FRA) Distributor Schneider Quantum (PLC)
Mitsubishi Tanabe Parama (Japan) Crystallizer (pharmaceuticals) Omron (PLC)
 
    As indicated in this table, PCR/PFC has been implemented on many kinds of platforms, such as DCSs & PLCs. Though it is not shown in this table, AD-4820 is a recommended platform for PCR implementation.
Using AD-4820, it is possible to design PCR control applications on Matlab / Simulink and download the designed controller to AD-4820 in several simple steps.
 
         
      Model Functional Control Technology for General Industry (PFC)  
         
      Predictive Functional Control (PFC) is the one type of model predictive control technology. PFC is a useful control tool for processes for which normal PID control failed to realize satisfactory controllability. PFC can be applied not only to linear and stable processes, but also to highly non-linear and non-stable processes.  
         
      PFC is the model predictive control algorithm developed by Dr. Jacques Richalet.  
         
      PFC Books  
         
      PFC Book in English
 
         
      PFC Book in Japanese  
Technology inquiries - Click here.
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