Open loop control is not necessarily totally without feedback.
For some processes this term is interpreted to mean a system where operator intervention is required and possible i.e. there are instruments indicating control parameters, or the process is sampled and lab evaluations performed, that allow the operator to make periodic adjustments to the set point.
In some processes there are problems with finding a suitable control parameter i.e. one that can be measured in process. For successful open loop control the system should exhibit some stability/predictability.
Failing this, or even with stability, the product may require collecting in an intermediate tank where it can be sampled and final corrections made.
A good example is ploymerisation end-point spotting in methyl methacrylate production. A typical batch reaction is exothermic, batch duration may only be around 2-2.5hrs and the end-point window only 20 seconds wide.
The duration of the process doesn't allow for sophisticated lab measurements.
Instead, the operator must take frequent samples and make a rough-and-ready viscosity measurement using a simple cup type device (viscosity is a function of the molecular weight).
The reaction curve is then plotted and the end point time predicted. The success rate is not high though many batches can be recovered by mixing back in with fresh feedstock for the next batch. 10% losses are non atypical. In those plants where process viscometers are suitable the success-rate is near 100%.
The point is while closed loop control is desireable in many processes it is not always possible.
JMW
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