Multi-objective optimization of a reactive batch distillation process using reduced order model

Reddy, P. Swapna; Rani, K. Yamuna; Patwardhan, Sachin C.

doi:10.1016/j.compchemeng.2017.05.017

Cited by 18 publications

(17 citation statements)

References 16 publications

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“…A simulation case study of the RBD process discussed in Reddy et al . is considered for evaluating the performance of the reduced order model-based UKF.…”

Section: Composition Estimation For the Rbd Process Using A Reduced O...mentioning

confidence: 99%

“…The developed reduced order model of the RBD process consists of 7 differential equations (the material balance equation of the reboiler and component balance equations of the condenser and reboiler with 3 components each) along with 2 algebraic equations contributing to the thermodynamic equations in the condenser and reboiler. Details of the reduced order model along with model parameters can be found in Reddy et al…”

Section: Composition Estimation For the Rbd Process Using A Reduced O...mentioning

confidence: 99%

“…The controller performance is reported in terms of the sum of squared error (SSE i ) with reference to the set point trajectory and true values of the controlled output, i.e. where y c represents the true value of the controlled output at the fast sampling rate and r represents the set point; Nt represents the number of data points in the simulation, which is defined as Nt × h = t f , where t f is the final batch time of the process. The performance of a batch is also assessed in terms of (a) yield (eq A10 in Appendix A, Reddy et al), (b) the amount of butyl acetate produced (eq A11 in Appendix A, Reddy et al), and (c) end point conversion.…”

Section: Butyl Acetate Production: Closed Loop Studiesmentioning

confidence: 99%

“…Batch units offer high flexibility, and the amount of products can be adjusted quickly according to the market conditions. With this backdrop, the possibility of producing chemicals using a reactive batch distillation (RBD) process is an attractive option and is actively being investigated by many researchers. − Operating an RBD process in an optimal manner is of paramount importance for improving product quality and profitability in the face of changing market conditions. However, the interaction between the simultaneous reaction and distillation in RBD processes introduces a much more complex behavior compared to conventional batch or semibatch processes, and this leads to a challenging control problem.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Robust Trajectory Tracking in a Reactive Batch Distillation Process using Multirate Nonlinear Internal Model Control

Reddy

Patwardhan

Rani

2019

Ind. Eng. Chem. Res.

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Operating a reactive batch distillation (RBD) process in an optimal manner is of paramount importance for improving product quality and profitability in the face of changing market conditions. However, implementation of an open loop optimal control policy may lead to significant reduction in yield and amount of desired product produced when unmeasured disturbances occur during operation. In this work, an observer error feedback-based multirate nonlinear internal model control (NIMC) scheme is developed for optimal trajectory tracking in the face of unmeasured disturbances. In particular, mismatch in the initial conditions and process parameter variations that can occur during RBD operation are considered. To reduce the time required for online computations, a recently proposed reduced order RBD model [Reddy et al. Compt. Chem. Eng., 2017, 106, 40−56] is used for the controller synthesis. Because the thermodynamic model associated with the RBD process has discontinuities, a multirate version of unscented Kalman filter (UKF) has been developed on the basis of the reduced order model for solving the state estimation problem associated with the proposed NIMC formulation. The efficacy of the proposed approach has been demonstrated by simulating an optimal trajectory tracking problem in the RBD process involving production of butyl acetate. The proposed multirate NIMC formulation is found to be computationally efficient and work reasonably well when tested on the RBD process for solving the set point tracking problem in the presence of unmeasured disturbances. In particular, it is advantageous to operate the RBD process using the proposed UKF-NIMC scheme when the system is subjected to unmeasured disturbances.

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“…A simulation case study of the RBD process discussed in Reddy et al . is considered for evaluating the performance of the reduced order model-based UKF.…”

Section: Composition Estimation For the Rbd Process Using A Reduced O...mentioning

confidence: 99%

Section: Composition Estimation For the Rbd Process Using A Reduced O...mentioning

confidence: 99%

Section: Butyl Acetate Production: Closed Loop Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust Trajectory Tracking in a Reactive Batch Distillation Process using Multirate Nonlinear Internal Model Control

Reddy

Patwardhan

Rani

2019

Ind. Eng. Chem. Res.

Self Cite

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“…The problem of reducing the number of variables of the finite element model to a number of main components can be solved using the reduced-order model (ROM) approach [16][17][18][19][20][21][22]. This approach allows us to take into account only the most important features of the modeling object with the help of several state variables and several ordinary differential equations.…”

Section: Reduced-order Modelsmentioning

confidence: 99%

Regulator synthesis for the self-sensing control system of the proportional electromagnet dc based on reduced-order models

et al. 2017

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Abstract. Modern DC proportional solenoid control systems use current values in magnetizing coils, or specialized sensors for position determination. These methods do not provide the possibility of accurate control and diagnostics, in case of aiming to the miniaturization of finished devices. In this article, it is proposed to use methods of self-sensory identification of the moving element position based on the method of the full-scale-model experiment. The functioning of the method is based on the electromagnet model obtained by the reduced-order model approach. These models have an advantage in the calculation speed in comparison with finite element models and have an advantage in accuracy in comparison with analytical models. Ansys Electronics is used to obtain the model. The electromagnetic control system is proposed. Its model is implemented in the system Matlab Simulink. Synthesis of PID-regulator parameters using Matlab is performed. The results of a study of a control system for a given displacement with the aid of the obtained control system are presented.

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Refinery Profit Planning via Evolutionary Many-Objective Optimization

Madhav

Huq

Ravi

2021

Studies in Computational Intelligence

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Multi-objective optimization of a reactive batch distillation process using reduced order model

Cited by 18 publications

References 16 publications

Robust Trajectory Tracking in a Reactive Batch Distillation Process using Multirate Nonlinear Internal Model Control

Robust Trajectory Tracking in a Reactive Batch Distillation Process using Multirate Nonlinear Internal Model Control

Regulator synthesis for the self-sensing control system of the proportional electromagnet dc based on reduced-order models

Refinery Profit Planning via Evolutionary Many-Objective Optimization

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