Identification of Uncertainty Bounds for Robust Control with Applications to a Fixed Bed Reactor
Abstract
A model-based robust controller is designed for a packed bed methanation reactor. To accomplish this objective, model uncertainty bounds are identified from experimental data. A physically motivated methodology of "regions mapping" was developed to compute the uncertainty bounds in the complex plane. This technique is compared to other existing nonparametric approaches for a simple nonlinear system and is shown to produce a more accurate description of the model uncertainty for the purpose of robust control design. This "regions-mapping" approach is then applied to a fixed bed reactor and uncertainty bounds are computed. A robust controller with a single adjustable parameter is designed for the reactor using internal model control (IMC) theory. The computed uncertainty bounds are experimentally validated using the IMC controller.
Additional Information
© 1995 American Chemical Society. Received for review July 5, 1994; Revised manuscript received February 2, 1995; Accepted February 16, 1995. H.M.B. acknowledges the support of the Rothschild and Bantrell Foundations.Additional details
- Eprint ID
- 85346
- DOI
- 10.1021/ie00044a026
- Resolver ID
- CaltechAUTHORS:20180316-124527093
- Rothschild Foundation
- Bantrell Foundation
- Created
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2018-03-26Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field