Steady-state target calculation integrating economic optimization for constrained model predictive control

Wu, Qun; Du, Wenli; Nagy, Zoltán K.

doi:10.1016/j.compchemeng.2020.107145

Cited by 12 publications

(4 citation statements)

References 20 publications

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“…In this way, the MPC scheme will not only minimize the operating error but also maintain the volumetric flow rate of the antisolvent within certain limits that will significantly improve the continuous crystallization process economics. Similar studies have already been found to lead to a significant improvement of the batch crystallization process , and continuous manufacturing processes …”

Section: Results and Discussionsupporting

confidence: 68%

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Theoretical Feedback Control Scheme for the Ultrasound-Assisted Continuous Antisolvent Crystallization of Aspirin in a Tubular Crystallizer

Savvopoulos

Voutetakis

Kuhn

et al. 2021

Ind. Eng. Chem. Res.

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Ultrasound-assisted crystallization is a promising process for the production of crystals within a size distribution width. Toward the direction of attaining high-quality crystals, this article proposes and assesses a theoretical feedback control scheme that can be applied in a continuous tubular crystallizer. In this crystallizer, the antisolvent crystallization of aspirin (a pharmaceutical ingredient) in water (an antisolvent) and ethanol (a solvent) takes place under ultrasound. Initially, a dynamic model is developed and includes the aspirin concentration variations while also taking into account temperature modifications in the inlet. After model validation, a PI control scheme is finely tuned, implemented theoretically, and critically assessed at the (i) trajectory control of the crystal length (average size), (ii) alleviation of suddenly emerged disturbances (e.g., solvent flow rate, inlet temperature), and (iii) a combination of worst-case operating scenarios. As identified, the proposed controller can offer a practical platform that can be readily applied to different scales and geometries in continuous tubular crystallizers operating with ultrasound. During all simulations, the produced crystals maintained high quality.

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Section: Results and Discussionsupporting

confidence: 68%

“…Similar studies have already been found to lead to a significant improvement of the batch crystallization process 43,44 and continuous manufacturing processes. 45…”

Section: Step 2: Sensitivity Tests and Control Systemmentioning

confidence: 99%

Theoretical Feedback Control Scheme for the Ultrasound-Assisted Continuous Antisolvent Crystallization of Aspirin in a Tubular Crystallizer

Savvopoulos

Voutetakis

Kuhn

et al. 2021

Ind. Eng. Chem. Res.

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show abstract

“…The CSTR generation device is an airtight tank with a dasher on the inside. It is a nonlinear chemical process with input time-delay (Du and Johansen, 2014; Tseng, 2006; Wu et al, 2021; Yang and Wei, 2021; Zerari and Chemachema, 2020). In this study, the model is modified based on the literature (Tan and Cauwenberghe, 1999) as follows…”

Section: Simulation Resultsmentioning

confidence: 99%

Recursive d-step-ahead predictive control of MIMO nonlinear systems with input time-delay via multi-dimensional Taylor network extended from PID

Yan

Zhang

2023

Transactions of the Institute of Measurement and Control

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In this paper, a recursive d-step-ahead predictive control scheme based on multi-dimensional Taylor network (MTN) is proposed for the real-time tracking control of multiple-input multiple-output (MIMO) nonlinear systems with input time-delay. The MTN predictive model is designed using a recursive approach to compensate the influence of time-delay, and an extended Kalman filter (EKF) is applied as its learning algorithm. An MTN controller is developed based on a proportional–integral–derivative (PID) controller where the closed-loop errors between the reference input and the system output are set as the MTN controller’s inputs. Then, a back propagation (BP) algorithm, designed to update its weights according to errors caused by system uncertainty, is used as a learning algorithm for the MTN controller. Meanwhile, the convergence of the MTN predictive model and the stability of the closed-loop system are evaluated. Two numerical examples and a practical example – continuous stirred tank reactor (CSTR) process are presented to verify the superiority of the proposed scheme. The experimental results and the computational complexity analysis show that the proposed scheme is effective, promising its desirable robustness, anti-disturbance, tracking and real-time performance.

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“…Linear programming and dynamic matrix control (LP-DMC), as an excellent control strategy, has been favored by plenty of industries, especially the petroleum, chemical, automotive, and aerospace industries which have achieved great economic benefits. [1][2][3] The efficient operation of the LP-DMC in practice relies on a perfect performance monitoring strategy. Unfortunately, the achievement of the LP-DMC assessment theory lags far behind the classical model predictive control (MPC).…”

Section: Introductionmentioning

confidence: 99%

A performance assessment methodology with coupling between layers for LP‐DMC systems

Chen,

Li,

Yang

2023

Intl J Robust & Nonlinear

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For the estimation of performance improvement potentials of LP‐DMC systems, a novel performance assessment methodology with the optimal benchmark considering the coupling between layers was proposed. The controlled variable tracking residuals and variable fluctuations are introduced as the coupling factors that the dynamic layer acts on the steady‐state layer. Correspondingly, the constraint scaling factor and fluctuation domain are introduced as the coupling factors that the steady‐state layer acts on the dynamic layer. The solutions of the two layers are interactive and iterative and eventually converge to optimal results. Then, the optimal results are utilized as the optimal criteria to define the assessment indexes of LP‐DMC. The experiment results in a simulation and an industrial process indicate the validity and rationality of the proposed methodology.

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Steady-state target calculation integrating economic optimization for constrained model predictive control

Cited by 12 publications

References 20 publications

Theoretical Feedback Control Scheme for the Ultrasound-Assisted Continuous Antisolvent Crystallization of Aspirin in a Tubular Crystallizer

Theoretical Feedback Control Scheme for the Ultrasound-Assisted Continuous Antisolvent Crystallization of Aspirin in a Tubular Crystallizer

Recursive d-step-ahead predictive control of MIMO nonlinear systems with input time-delay via multi-dimensional Taylor network extended from PID

A performance assessment methodology with coupling between layers for LP‐DMC systems

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