Multivariable nonlinear control applications for a high purity distillation column using a recurrent dynamic neuron model

1997 ◽  
Vol 7 (4) ◽  
pp. 255-268 ◽  
Author(s):  
Andre M. Shaw ◽  
Francis J. Doyle
Keyword(s):  
Nonlinear Control ◽  
High Purity ◽  
Distillation Column ◽  
Neuron Model ◽  
Control Applications

Nonlinear control of a high-purity distillation column using a traveling-wave model

AIChE Journal ◽  
1997 ◽  
Vol 43 (3) ◽  
pp. 703-714 ◽  
Author(s):  
Lalitha S. Balasubramhanya ◽  
Francis J. Doyle
Keyword(s):  
Nonlinear Control ◽  
High Purity ◽  
Traveling Wave ◽  
Distillation Column ◽  
Wave Model

Model Predictive Control of High‐purity Internal Thermal Coupled Distillation Column

2021 ◽  
Author(s):  
Ja'afar Sulaiman Zangina ◽  
Wenhai Wang ◽  
Weizhong Qin ◽  
Weihua Gui ◽  
Zeyin Zhang ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
High Purity ◽  
Distillation Column

Decoupling control of high-purity heat integrated distillation column process via active disturbance rejection control and nonlinear wave theory

2020 ◽  
Vol 42 (12) ◽  
pp. 2221-2233 ◽  
Author(s):  
Yun Cheng ◽  
Zengqiang Chen ◽  
Mingwei Sun ◽  
Qinglin Sun
Keyword(s):  
Nonlinear Wave ◽  
Control Strategy ◽  
High Purity ◽  
Disturbance Rejection ◽  
Distillation Column ◽  
Decoupling Control ◽  
Active Disturbance Rejection Control ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
Control Scheme

Although the heat integrated distillation is an energy-efficient and environment-friendly separation technology, it has not been commercialized. One of the reasons is that the nonlinear dynamics and the interactions between various control loops have limited the performance of the traditional control strategy. To achieve a high-purity product concentration, a dynamic decoupling control strategy based on active disturbance rejection control (ADRC) is proposed. The effects of interactions, uncertainties and external disturbances can be estimated and rejected by using extended state observer. Considering the constraints on manipulated variables, an optimized ADRC is designed for the first-order system. Moreover, a concentration observer based on a nonlinear wave model is formulated to reduce the number of sensors. In the simulation research, the related internal model control (IMC), multi-loop ADRC and model predictive control (MPC) are compared with the proposed control scheme. The simulation results demonstrate the advantages of the proposed control scheme on tight control, decoupling performance and disturbance rejection for the high-purity heat integrated distillation column.

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