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Self Tuning and Adaptive Control of Chemical Processes

In: Adaptive and Learning Systems

Author

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  • Scott A. Chesna

    (University of Massachusetts at Amherst, Department of Chemical Engineering)

  • B. Erik Ydstie

    (University of Massachusetts at Amherst, Department of Chemical Engineering)

Abstract

The paper reviews the results obtained from applying the self tuning regulator to several different chemical process control problems. This research has revealed that some minor modifications to the original theory lead to better performance and robustness characteristics in the face of nonlinear and time-varying process dynamics. This paper describes the results from using a variable in lieu of a fixed forgetting factor, and an extended horizon control policy for compensation of systems that have time-varying transport delay and non-minimum phase dynamics. We also describe how steady state design models can be used to compensate for some nonlinear process characteristics via nonlinear model compensation techniques.

Suggested Citation

  • Scott A. Chesna & B. Erik Ydstie, 1986. "Self Tuning and Adaptive Control of Chemical Processes," Springer Books, in: Kumpati S. Narendra (ed.), Adaptive and Learning Systems, pages 119-130, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4757-1895-9_8
    DOI: 10.1007/978-1-4757-1895-9_8
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