Statistics Seminar:: Robust parameter design with feedback control

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Robust parameter design has been widely used as a cost effective
tool to reduce process variability by appropriate selection of
control factors to make the process insensitive to noise.
However, when there exists strong noise factors in the process,
robust parameter design alone may not be effective and an on-line
control strategy can be used to compensate for the effect of
noise. In this paper, a parameter design methodology in the
presence of feedback control is developed. Systems with pure-gain
dynamic model are considered and the best proportional-integral
(PI) and minimum mean squared error (MMSE) control strategies are
developed by using robust parameter design. The proposed method is
illustrated using a real life example from a urea packing plant.


  • Workflow Status: Published
  • Created By: Barbara Christopher
  • Created: 10/08/2010
  • Modified By: Fletcher Moore
  • Modified: 10/07/2016


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