MPC-based reference governor control of a continuous stirred-tank reactor

Holaza, Juraj; Klaučo, Martin; Drgoňa, Ján; Oravec, Juraj; Kvasnica, Michal; Fikar, Miroslav

doi:10.1016/j.compchemeng.2017.09.020

Cited by 21 publications

(7 citation statements)

References 25 publications

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“…On the other hand, plenty of works in literature used reference governor strategy to avoid constrained violations (Holaza et al, 2018;Liu et al, 2021bLiu et al, , 2019. This strategy can be used in conjunction with different types of controls.…”

Section: Related Workmentioning

confidence: 99%

Reference governed ADRC approach to manage the handling-comfort contradiction in a full-vehicle suspension

Muhammed

Yazan

Gavrilov

2022

Transactions of the Institute of Measurement and Control

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This paper aims to add to the discourse surrounding the development of a new approach to managing the trade-off between the ride-comfort and road-handling experiences induced by car suspension systems. Indeed, at present, management of the handling-comfort contradictions in such a large system using traditional algorithms requires precise modeling and large calculations, for example, model predictive control (MPC) or different models of road disturbances and a genetic representation of the solution domain, such as genetic algorithms. The proposed algorithm takes advantage of the adaptive properties of the active disturbance rejection control (ADRC) to construct a reference governor for the full-car suspension system. Resultant from the proposed algorithm, the required calculations are significantly reduced when compared to the MPC and the performance of the system is constantly monitored. The ADRC focuses on maintaining ride-comfort while the reference governor adjusts the reference signal to maintain the road-handling ability. The results demonstrate how the reference governor optimizes the input reference signals to prevent the suspension deflection from exceeding its imposed limits in instances when required to maintain the greatest degree of road-handling, while simultaneously acting neutrally when the suspension travel is far from the strokes.

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Section: Related Workmentioning

confidence: 99%

Reference governed ADRC approach to manage the handling-comfort contradiction in a full-vehicle suspension

Muhammed

Yazan

Gavrilov

2022

Transactions of the Institute of Measurement and Control

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“…Use of the MPC control scheme, in which a mathematical model is used to predict its future trajectory, can minimize the generated error signal. This has been addressed, for example, by novel control schemes in perfusion and continuous systems [ 23 , 24 ] by supporting continuous bio production in downstream purifications [ 25 ] or by controlling product quality attributes in antibody manufacture [ 26 , 27 ]. A so-called single prediction controller (SPC) anticipates the future behavior based on only one prediction of the system output.…”

Section: Introductionmentioning

confidence: 99%

Model predictive control for steady-state performance in integrated continuous bioprocesses

Pappenreiter

Döbele²,

Striedner

et al. 2022

Bioprocess Biosyst Eng

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Perfusion bioreactors are commonly used for the continuous production of monoclonal antibodies (mAb). One potential benefit of continuous bioprocessing is the ability to operate under steady-state conditions for an extended process time. However, the process performance is often limited by the feedback control of feed, harvest, and bleed flow rates. If the future behavior of a bioprocess can be adequately described, predictive control can reduce set point deviations and thereby maximize process stability. In this study, we investigated the predictive control of biomass in a perfusion bioreactor integrated to a non-chromatographic capture step, in a series of Monte-Carlo simulations. A simple algorithm was developed to estimate the current and predict the future viable cell concentrations (VCC) of the bioprocess. This feature enabled the single prediction controller (SPC) to compensate for process variations that would normally be transported to adjacent units in integrated continuous bioprocesses (ICB). Use of this SPC strategy significantly reduced biomass, product concentration, and harvest flow variability and stabilized the operation over long periods of time compared to simulations using feedback control strategies. Additionally, we demonstrated the possibility of maximizing product yields simply by adjusting perfusion control strategies. This method could be used to prevent savings in total product losses of 4.5–10% over 30 days of protein production.

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“…On the other hand, during the past decade, Two‐Loop Model Predictive Control (TL‐MPC) schemes have been studied extensively and attracted attention in the industry by offering some practical advantages than one‐loop MPCs. For instance, MPC‐based Reference Governor (RG) methods 11‐13 decrease controller design cost. This is done by utilizing an existing pre‐stabilized system as the inner‐loop and add an MPC controller to the system in the outer‐loop 14 .…”

Section: Introductionmentioning

confidence: 99%

“…Contrary to References 9,10, the proposed ITL‐NMPC scheme is robust against bounded uncertainties. In contrast with MPC‐based RGs, 11‐13 improving the tracking performance is covered. Compared to tube‐based MPC methods, 15‐19 the computational complexity and conservatism of tube calculation are reduced.…”

Section: Introductionmentioning

confidence: 99%

An improved two‐loop model predictive control design for nonlinear robust reference tracking with practical advantages

Farajzadeh-D

Sani

2020

Optim Control Appl Methods

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Summary In this paper, the nonlinear robust reference tracking problem is considered and an Improved Two‐Loop Nonlinear Model Predictive Control (ITL‐NMPC) design is proposed for a pre‐controlled system with bounded uncertainties subject to input and state constraints. In the industry, this scheme leads the lower design cost and fewer implementation risks since (i) it allows the existing controller to remain unchanged without any manipulation, (ii) it does not need the open‐loop model of the pre‐controlled system, and (iii) it does not require the terminal cost and constraint definition. For the proposed ITL‐NMPC, a practical parameter tuning algorithm is introduced and its robust exponential stability, as well as recursive feasibility, are guaranteed. Simulation results are used to better illustrate the effectiveness of the proposed approach and show that the proposed method not only improves the control performance of the pre‐controlled system but also reduces the design cost while satisfying the constraints.

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MPC-based reference governor control of a continuous stirred-tank reactor

Cited by 21 publications

References 25 publications

Reference governed ADRC approach to manage the handling-comfort contradiction in a full-vehicle suspension

Reference governed ADRC approach to manage the handling-comfort contradiction in a full-vehicle suspension

Model predictive control for steady-state performance in integrated continuous bioprocesses

An improved two‐loop model predictive control design for nonlinear robust reference tracking with practical advantages

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