Synthesis of nonlinear adaptive controller for a batch distillation

Jana, Amiya K.

doi:10.1016/j.isatra.2006.05.001

Cited by 12 publications

(5 citation statements)

References 32 publications

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“…Another is optimized adaptive control of an ideal reactive distillation column which demonstrated that the scheme is able to satisfactorily track the optimum operating point of the system [8]. Next is a non-linear adaptive controller for batch distillation; the controller with a simple structure and easy adjustment obtained good results in concentration control [9].…”

Section: Introductionmentioning

confidence: 99%

Adaptive decoupling control for binary distillation column into a 3D virtual environment

2021

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The oil refinery plants have a particularly high energy consumption in the distillation process. Several authors state that these are the systems with the highest energy consumption in the petrochemical industry. Currently, work is being done on the implementation of adaptive controllers in order to improve the efficiency of the distillation process and the quality of the product. In this work the control of a binary distillation column developed within a 3D virtual laboratory is presented. Adaptive control by reference model (MRCA) is used for the manipulation of bottom and distillate concentrations. Initially, the mathematical description of the process is obtained, together with the computer-aided design, to subsequently implement the control technique. As a result, the behavior of the controlled system in simulation is shown and compared with the response of the embedded system within the virtual environment. The main contribution of this work is the interaction that a user can have with this type of processes and the possibility of implementing modern control strategies within this type of environments as a low-cost tool to support education and training activities.

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Section: Introductionmentioning

confidence: 99%

Adaptive decoupling control for binary distillation column into a 3D virtual environment

2021

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“…They proved that this method is effective and it was able to offer good performance for most disturbances. Jana [2] suggested nonlinear adaptive control system for binary system distillation column and testing performance on adaptation under primary error and heterogeneous disturbances. They compared it with PI control.…”

Section: Introductionmentioning

confidence: 99%

The Dynamic Behavior and Control of Methanol-Toluene Distillation Column

Ahmed¹,

Ahmed²

2017

Tikrit j. eng. sci.

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In this study the dynamic behavior for two control methods of the distillation column for the separation of methanol and toluene mixture are studied. The experimental responses of temperature in each tray of distillation column for step changes in set point of reboiler, reflux ratio and feed weight fraction were obtained. Based on a derived mathematical model, the Simulink simulator of the distillation column is used to implement the PID and fuzzy logic control methods. The Comparison between two controllers is done for step changes in set point, feed flow rate, feed weight fraction and liquid reflux. The controller performance is measured by using mean square error and integral square error. The results showed that the performance of the fuzzy controller is the best than the PID controller in fast access to the desired value and cancelling the disturbances.

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“…They proved that this method is effective and it is able to offer a good performance for most disturbances. On the other hand, Jana [2] suggested using a nonlinear adaptive control system for binary system distillation column and test the performance on adaptation under primary error and heterogeneous disturbances. They compared it with PI control.…”

Section: Introductionmentioning

confidence: 99%

“…Duraid F. Ahmed and Maher O. Ahmed / Tikrit Journal of Engineering Sciences 24 (3) 2017(1)(2)(3)(4)(5)(6)(7)(8)(9) …”

mentioning

confidence: 99%

The Dynamic Behavior and Control of the Methanol-Toluene Distillation Column

Ahmed

2017

Tikrit j. eng. sci.

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In this study, the dynamic behavior for two control methods of the distillation column for the separation of methanol and toluene mixture are studied. The experimental responses of temperature in each tray of distillation column for step changes in set point of reboiler, reflux ratio, and feed weight fraction are obtained. This is based on a derived mathematical model. Simulink simulator of the distillation column is used to implement the PID and fuzzy logic control methods. The comparison between the two controllers is done for step changes in set point, feed flow rate, feed weight fraction, and liquid reflux. The controller performance is measured depending on the mean square error and integral square error. The results show that the performance of the fuzzy controller is better than of the PID controller in fast access to the desired value and to cancelling the disturbances.

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Synthesis of nonlinear adaptive controller for a batch distillation

Cited by 12 publications

References 32 publications

Adaptive decoupling control for binary distillation column into a 3D virtual environment

Adaptive decoupling control for binary distillation column into a 3D virtual environment

The Dynamic Behavior and Control of Methanol-Toluene Distillation Column

The Dynamic Behavior and Control of the Methanol-Toluene Distillation Column

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