A study was made of the robustness of controllers for fluidized bed tea dry
ing. Several controller configurations have been designed and studied in pr
evious work. Tuning of these controllers is possible using a transfer funct
ion estimated from the frequency behaviour of a validated simulation model
under normal operating conditions. In this work a range of operating condit
ions deviating from the standard conditions was studied. Controller tuning
determined by the Cohen & Coon or Ziegler-Nichols methods was not found to
be robust over the range of conditions tested. A different method was devel
oped, based on dryer modelling, to establish a range of controller settings
giving minimal Integral Squared Error while maintaining adequate gain and
phase margins. These settings were found to be suitable for the whole range
of conditions tested. A simplification to the inferential controller, usin
g gains only rather than complete transfer functions in the inferential est
imator, was shown to be justified. (C) 2000 Elsevier Science B.V. All right
s reserved.