Application of Cooperative Control to Petroleum Plants Using Fuzzy Supervisory Control and Model Predictive Multi-variable Control | Zendy

Takahiro Kobayashi | Zendy; Tetsuji Tani | Zendy

Open Access

Application of Cooperative Control to Petroleum Plants Using Fuzzy Supervisory Control and Model Predictive Multi-variable Control

Author(s) -

Takahiro Kobayashi,

Tetsuji Tani

Publication year - 2001

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2001.p0333

Subject(s) - fuzzy logic , computer science , model predictive control , block (permutation group theory) , control theory (sociology) , supervisory control , multivariable calculus , fuzzy control system , compensation (psychology) , control engineering , control (management) , mathematics , artificial intelligence , engineering , psychology , geometry , psychoanalysis

This paper describes hierarchical control with fuzzy supervisory control and model predictive multivariable control (MPC) in a petroleum plant. MPC is effective in time delay, interference, and handling constraints. Fuzzy logic controllers are effective for plants with large time delay and non-linearity. Our proposed hierarchical control combines their advantages. Fuzzy supervisory control, which determines set points for MPC, consists of an estimation block and a compensation block. We use a statistical model with multi-regression analysis for the estimation block to estimate parameters of plant operation, and fuzzy logic for the compensation block to correct output of the statistical model. Hierarchical control has been applied to an actual plant in an oil refinery, and showed satisfactory performance.

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