Consistency control optimization

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 Good stock consistency control is accepted as a cornerstone of a low variability operation. In spite of its importance, there are often many problems found with the design and operation of consistency loops. Common problems include inadequate mixing in stock chests, inappropriate sensor selection, poor dilution header pressure control, unnecessarily slow consistency controller tuning, poor consistency sensor calibration, poor management of consistency setpoints. Achieving low consistency variability requires good process design – not just of the control loop but the surrounding equipment such as stock chest agitation and dilution supply systems. The process engineer needs to design a control strategy capable of achieving the consistency variability targets. The controller tuning needs to be optimized to take advantage of the well designed process and control strategy. 

  The objective of this 1 day course is to provide the attendee with clear-cut directions for  improving consistency control.   The course strengthens the attendee’s ability to identify and troubleshoot consistency variability problems.  

 This course is intended for process/instrumentation/control engineers and operations management who want to optimize consistency control performance. The course explores the implications of process design on control performance and is beneficial to maintenance and design engineers.

Identifying the sources of consistency variability

Consistency Control Loop basics

Consistency control loop performance targets

Consistency control strategy options

Identifying consistency control problems 

High Density Consistency Control

Evaluating Stock Chest Mixing Performance 

Consistency Loop Survey procedures

The registration fee for the CCO course is CDN $800 or $ US 800 (taxes included. 

The course fee include a full set of course notes (hardcopy or pdf), the lab simulator and course handouts.  

 Doug has over 30 years of industrial process control experience. He has authored papers on dryer control, control valve selection and the uses of process simulation in optimization surveys.