Integrated Design and Control under Uncertainty: A Fuzzy Modeling Approach

A novel integration of design and control is proposed for the nonlinear process under uncertainty. The fuzzy modeling method is first employed to approximate the process, upon which fuzzy control rules are developed to achieve the stability, robustness and feasibility. Then, the steady-state economi...

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Bibliographic Details
Published in:Industrial & engineering chemistry research 2010-02, Vol.49 (3), p.1312-1324
Main Authors: Lu, XinJiang, Li, Han-Xiong, Duan, Ji-An, Sun, Dong
Format: Article
Language:English
Subjects:
Applied sciences
Chemical engineering
Exact sciences and technology
Process Design and Control
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Summary:A novel integration of design and control is proposed for the nonlinear process under uncertainty. The fuzzy modeling method is first employed to approximate the process, upon which fuzzy control rules are developed to achieve the stability, robustness and feasibility. Then, the steady-state economic design and the control system design are integrated into a unified objective function, which can guarantee the desirable economic and dynamic performances. Finally, the proposed method is compared with the traditional sequential method and an existing integration method on controlling the temperature profile of a nonlinear curing process. The comparison demonstrates that the proposed method will have the better performances than the other two methods.
ISSN:0888-5885
1520-5045
DOI:10.1021/ie901457j