Set-Point Supervisory Control Methodology for a Nonlinear Continuous Stirred Tank Reactor Process

Abstract : In this paper, a set-point supervisory control methodology for switching and tuning is developed for nonlinear systems. This control strategy is evaluated in the simulation of highly nonlinear continuous stirred tank reactor process. In the first step, closed-loop adaptive control algorithm is used to estimate a bank of models and to calculate their corresponding controllers, each of these models and their associate controllers are tuning around a given operating points. Thereafter, an intelligent supervisor is implemented to orchestrate the switching between different models and to select at each instant the adequate and the best controller to the plant. The simulation results found for three scenarios that correspond to different scaling of the set-point show the effectiveness and superiority in terms of performances and robustness characteristics of this proposed control approach comparing with closed loop adaptive controller.
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Submitted on : Thursday, July 26, 2012 - 1:25:27 PM
Last modification on : Friday, November 16, 2018 - 1:30:02 AM

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Hocine Lehouche, Hervé Guéguen, Boubekeur Mendil. Set-Point Supervisory Control Methodology for a Nonlinear Continuous Stirred Tank Reactor Process. Arabian Journal for Science and Engineering, King Fahd University of Petroleum and Minerals SAUDI ARABIA - Springer (en ligne), 2012, 37 (3), pp.831-849. ⟨10.1007/s13369-012-0188-3⟩. ⟨hal-00720973⟩

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