Adaptive calibration and control of cascade processes with unknown measurement model and actuator dynamics and its application to paper manufacturing

Zeyu Liu, Perry Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many industrial processes are in cascade configuration in which the material being processed goes through a sequence of processing units. The output of an upstream processing unit is fed into the input of the unit downstream. In many cases, the variables of interests are only available via related uncertain surrogate measurements in the all the upstream stages , and directly measured at the output of the last stage. The problem of controlling such systems by adaptively calibrating the surrogate measurement model and the use of a pre-emptive control strategy was studied in [9]. In this paper, the unknown actuator dynamics is taken into account in the adaptive calibration and pre-emptive control as well. A Lyapunov based nonlinear control algorithm is derived. The proposed control algorithm is applied to a vacuum dewatering process in paper manufacturing industry. Simulation results show that the proposed control strategy can regulate the exiting moisture content of each unit at the desired value.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Dynamic Systems and Control Conference 2009, DSCC2009
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages1057-1063
Number of pages7
EditionPART B
ISBN (Print)9780791848920
DOIs
StatePublished - 2010
Event2009 ASME Dynamic Systems and Control Conference, DSCC2009 - Hollywood, CA, United States
Duration: Oct 12 2009Oct 14 2009

Publication series

NameProceedings of the ASME Dynamic Systems and Control Conference 2009, DSCC2009
NumberPART B

Other

Other2009 ASME Dynamic Systems and Control Conference, DSCC2009
CountryUnited States
CityHollywood, CA
Period10/12/0910/14/09

Keywords

  • Actuator dynamics
  • Adaptive calibration
  • Pre-emptive control
  • Surrogate measurement

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