Optimal steady-state operation of the Tennessee Eastman challenge process

Ricker, N. Lawrence

doi:10.1016/0098-1354(94)00043-n

Cited by 178 publications

(114 citation statements)

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“…In this paper a new approach in the real time optimization of the TE process that leads to the minimum achievable production cost is proposed. The minimum achievable production cost obtained by Ricker in an offline manner [6]. At first the plant characteristics are described and then appropriate control structure to stabilize the process is explained.…”

Section: Introductionmentioning

confidence: 99%

A new approach to real time optimization of the Tennessee Eastman challenge problem

Golshan

Boozarjomehry

Pishvaie

2005

Chemical Engineering Journal

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Section: Introductionmentioning

confidence: 99%

A new approach to real time optimization of the Tennessee Eastman challenge problem

Golshan

Boozarjomehry

Pishvaie

2005

Chemical Engineering Journal

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“…TEP is a bench-mark process developed on an actual chemical process (Ricker, 1995). At present, it is widely applied in the simulation of modelling, product quality control, multi-variable process control and optimisation.…”

Section: Experiments In Tennessee Eastman Process (Tep)mentioning

confidence: 99%

Data-driven process decomposition and robust online distributed modelling for large-scale processes

Zhang

Yao

et al. 2017

International Journal of Systems Science

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With the increasing attention of networked control, system decomposition and distributed models show significant importance in the implementation of model-based control strategy. In this paper, a data-driven system decomposition and online distributed subsystem modelling algorithm was proposed for large-scale chemical processes. The key controlled variables are first partitioned by affinity propagation clustering algorithm into several clusters. Each cluster can be regarded as a subsystem. Then the inputs of each subsystem are selected by offline canonical correlation analysis between all process variables and its controlled variables. Process decomposition is then realised after the screening of input and output variables. When the system decomposition is finished, the online subsystem modelling can be carried out by recursively block-wise renewing the samples. The proposed algorithm was applied in the Tennessee Eastman process and the validity was verified.

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“…Figure 4 shows typical results. At time t=O, the plant is at steady-state (Mode 1 of Ricker [30]), where the operating cost is $ 114 per hour. Setpoints for reactor pressure and level are changed step-wise to more favorable values (not shown), causing a temporary decrease in operating costs (Fig 4d).…”

Section: Min C(xup)mentioning

confidence: 99%