Liquid‐to‐solid ratio control as an advanced process control solution for continuous twin‐screw wet granulation

Nicolaï, Niels; Leersnyder, Fien De; Copot, Dana; Stock, Michiel; Ionescu, Clara-Mihaela; Gernaey, Krist V.; Beer, Thomas De

doi:10.1002/aic.16161

Cited by 21 publications

(5 citation statements)

References 33 publications

(55 reference statements)

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“…By in-line NIR spectroscopy monitoring, the L/D ratio of the wet granule based on a PLS regression model and an automatic supervisory controller was established for TSWG. When inducing artificial disturbances, it correctly follows the dynamic set point and obtains an RMSE of 0.25% w/w relative to the setpoint [76]. Torque is an important PV in the TSWG process, and the feasibility of the APC approach by adjusting the torque was investigated.…”

Section: Process Controlmentioning

confidence: 99%

Pharmaceutical Application of Process Understanding and Optimization Techniques: A Review on the Continuous Twin-Screw Wet Granulation

Zhao

Tian

2023

Biomedicines

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Twin-screw wet granulation (TSWG) is a method of continuous pharmaceutical manufacturing and a potential alternative method to batch granulation processes. It has attracted more and more interest nowadays due to its high efficiency, robustness, and applications. To improve both the product quality and process efficiency, the process understanding is critical. This article reviews the recent work in process understanding and optimization for TSWG. Various aspects of the progress in TSWG like process model construction, process monitoring method development, and the strategy of process control for TSWG have been thoroughly analyzed and discussed. The process modeling technique including the empirical model, the mechanistic model, and the hybrid model in the TSWG process are presented to increase the knowledge of the granulation process, and the influence of process parameters involved in granulation process on granule properties by experimental study are highlighted. The study analyzed several process monitoring tools and the associated technologies used to monitor granule attributes. In addition, control strategies based on process analytical technology (PAT) are presented as a reference to enhance product quality and ensure the applicability and capability of continuous manufacturing (CM) processes. Furthermore, this article aims to review the current research progress in an effort to make recommendations for further research in process understanding and development of TSWG.

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Section: Process Controlmentioning

confidence: 99%

Pharmaceutical Application of Process Understanding and Optimization Techniques: A Review on the Continuous Twin-Screw Wet Granulation

Zhao

Tian

2023

Biomedicines

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“…Hence, it has been successfully applied in industry, as summarized in [39]. Hitherto, it was applied in a manifold of technical and non-technical areas, while being recently introduced in the pharmaceutical indus-try [40]. Stability and feasibility of this algorithm have been given in [41], [42] and robustness has been discussed in [43].…”

Section: A Basic Mpc Input-output Data Formulationmentioning

confidence: 99%

A Low Computational Cost, Prioritized, Multi-Objective Optimization Procedure for Predictive Control Towards Cyber Physical Systems

et al. 2020

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Cyber physical systems consist of heterogeneous elements with multiple dynamic features. Consequently, multiple objectives in the optimality of the overall system may be relevant at various times or during certain context conditions. Low cost, efficient implementations of such multi-objective optimization procedures are necessary when dealing with complex systems with interactions. This work proposes a sequential implementation of a multi-objective optimization procedure suitable for industrial settings and cyber physical systems with strong interaction dynamics. The methodology is used in the context of an Extended Prediction self-adaptive Control (EPSAC) strategy with prioritized objectives. The analysis indicates that the proposed algorithm is significantly lighter in terms of computational time. The combination with an input-output formulation for predictive control makes these algorithms suitable for implementation with standardized process control units. Three simulation examples from different application fields indicate the relevance and feasibility of the proposed algorithm.INDEX TERMS priority objectives, multi-objective optimization, model predictive control, steam power plant, unmanned aerial vehicle, drug regulatory network, interaction, safety.

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“…Unlike other academic MPC strategies, the EPSAC approach is based on input-output filtering techniques, making it thus very attractive for industrial applications. The simplicity of the methodology allowed its implementation on FPGAs platforms [9] or dSpace platforms [10] and other real time operating environments [11], [12].…”

Section: A Generic Epsac-mpc Approachmentioning

confidence: 99%

Automatic tuning of predictive control in a hydrostatic drive train system in nominal operation

Ionescu

Haemers

Maxim

et al. 2019

2019 23rd International Conference on System Theory, Control and Computing (ICSTCC)

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This paper presents an automatic model based predictive control tuning and operation of a hydrostat drive train system under nominal conditions. An industrial-friendly version of the predictive control strategy is applied whereas the model is simplified as an approximation of first order plus dead time and the control design parameters are automatically tuned. Implementation on a SISO drive train is experimentally achieved with successful performance in closed loop tests. From the identified characteristics of the real life drive train, a simulated MIMO system is extracted and automatic tuning is again performed. A limitation of the present work is that constraints are not yet included, only safety limits.

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Liquid‐to‐solid ratio control as an advanced process control solution for continuous twin‐screw wet granulation

Cited by 21 publications

References 33 publications

Pharmaceutical Application of Process Understanding and Optimization Techniques: A Review on the Continuous Twin-Screw Wet Granulation

Pharmaceutical Application of Process Understanding and Optimization Techniques: A Review on the Continuous Twin-Screw Wet Granulation

A Low Computational Cost, Prioritized, Multi-Objective Optimization Procedure for Predictive Control Towards Cyber Physical Systems

Automatic tuning of predictive control in a hydrostatic drive train system in nominal operation

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