The identification of nonlinear multi-input multi-output (MIMO) processes is important and challenging problem. Fuzzy systems have been effectively used to identify complex nonlinear dynamical systems, but mostly single-input single-output systems are considered. This paper presents a compact Takagi-Sugeno fuzzy model that can be effectively used to represent MIMO dynamical systems. For the ide...

This work is an attempt to illustrate the usage and effectiveness of soft computing techniques in the estimation and control of multi input and multi output systems. This paper focuses on neuro-fuzzy system ANFIS (Adaptive Neuro Fuzzy Inference system). An Adaptive Network based Fuzzy Interference System architecture extended to cope with multivariable systems has been used. The performance of ...

D istillation columns are considered as one of the most critical components in petroleum refineries, gas processing installations and chemical plants. Plant performance depends to a large extent on the ability of these columns to function as intended. Defective columns may lead to serious consequences to the plant operation and hence the quality of the product. Thus, when a distillation column ...

This paper studies the synthesis and the design of methanol recovery system for TAME reactive distillation process using extraction column with water as a solvent. The design of the extraction column system has not been studied in the literature. The effect of operating conditions such as solvent flowrate, extraction column temperature, and number of equilibrium trays are studied. It is found t...

  The simulation of distillation columns is an essential step in design, optimization, and rating. In this paper, a new procedure has been proposed for the initial estimation of column profiles based on modified Kremser’s group method for simple and/or complex columns. The effect of this initialization algorithm on simulation procedure has been studied through two examples. The results show sig...

1 [email protected] Abstract : A multi-model structure for model predictive control has been established for a petroleum distillation column through first principle analysis, and its parameters have been estimated from data generated by a rigorous model. The nonlinear multi-model has been used for state-estimation and prediction in a MPC scheme. The controller has been applied to quality ...

In process multi-input multi-output (MIMO) systems are observed that are dominated by interactions between input and outputs. Process decouplers are synthesized to reduce these interactions before controller design. In this work analytical expressions for closed-loop interactive transfer functions are found and interaction reducers (IR) are designed (as process decouplers) for closed-loop contr...