AN ADAPTIVE STRATEGY FOR CONSTRAINED GENERIC MODEL CONTROL |
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Authors: | Weibiao Zhou Peter L. Lee Gerald R. Sullivan Michael W. Brown |
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Affiliation: | a Department of Chemical Engineering, University of Queensland, St. Lucia, QLD, Australiab Department of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada |
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Abstract: | The performance of control systems on industrial processes is often constrained—constraints on the process inputs and outputs. Effective control algorithms must be cognizant of the presence of these constraints. Generic Model Control (GMC) is a model-based control framework for both linear and nonlinear systems without explicit constraint handling. In this paper, it is shown that an adaptive approach can be incorporated within GMC to accommodate the constraints by adapting one of the two GMC parameters during the control procedure. Adaptation is determined to be necessary when the predicted process state and output variables as calculated by the process model violate their constrained values. The adaption is achieved through assessing the sensitivities of the constraints to the GMC parameters. Two non-linear examples are presented which demonstrate the efficiency of the approach. |
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Keywords: | Generic model control Constraints Nonlinear control |
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