Application of Cooperative Control to Petroleum Plants Using Fuzzy Supervisory Control and Model Predictive Multi-variable Control
Takahiro Kobayashi and Tetsuji Tani
System Technology Development Center, Idemitsu Kosan Co., Ltd., Japan 26 Anesaki-kaigan, Ichihara, Chiba, 299-0107 Japan
Received:November 3, 2001Accepted:January 17, 2002Published:November 20, 2001
Keywords:hierarchical control system, fuzzy supervisory control system, model predictive multivariable control, catalytic reforming unit, petroleum plant
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.
Cite this article as:T. Kobayashi and T. Tani, “Application of Cooperative Control to Petroleum Plants Using Fuzzy Supervisory Control and Model Predictive Multi-variable Control,” J. Adv. Comput. Intell. Intell. Inform., Vol.5 No.6, pp. 333-337, 2001.Data files: