Theoretical and fuzzy modelling of a pharmaceutical batch reactor

Štampar, Simon; Sokolic, S.; Karer, Gorazd; NidaršIč, Alenka; Škrjanc, Igor

doi:10.1016/j.mcm.2010.09.016

Cited by 13 publications

(9 citation statements)

References 7 publications

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“…The hybrid batch reactor [48] is made of stainless steel and serves for the preparation of solvents that are added to the production of drugs. The reactor capacity is 630 L. The temperature control (heating and cooling) of the reactor contents is performed via pipes wrapped around the wall of the reactor.…”

Section: The Hybrid Batch-reactor Modelmentioning

confidence: 99%

“…The authors [48] determined that the process of heating and cooling of the reactor contents is highly nonlinear in terms of its parameters. Therefore, the authors developed a detailed nonlinear theoretical model, which was shown to very accurately describe the real plant.…”

Section: The Hybrid Batch-reactor Modelmentioning

confidence: 99%

“…The authors [41][42][43][44] discuss the different types of batch reactors that are used in the chemical, biological, pharmaceutical and food industries. A detailed nonlinear theoretical model for the heating and cooling of a hybrid batch reactor was successfully developed [48]. Our choice for the development and testing of the proposed algorithm is a theoretical model for the process of heating and cooling the reactor contents.…”

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Predictive functional control of temperature in a pharmaceutical hybrid nonlinear batch reactor

Štampar

Sokolic

Karer

2013

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These days, in times of recession, we are forced by competitiveness and the optimization of production to lower the costs of the temperature control in pharmaceutical batch reactors and increase the quantity and quality of the produced pharmaceutical product (active pharmaceutical substances). Therefore, a control algorithm is needed that provides us rapid and precise temperature control. This paper deals with the development of a control algorithm, where two predictive functional controllers are connected in a cascade for heating and cooling the content of the hybrid batch reactor. The algorithm has to be designed to cope with the constraints and the mixed discrete and continuous nature of the process of heating and cooling. The main goal of the control law is to achieve rapid and exact tracking of the reference temperature, good disturbance rejection and, in particular, a small number of heating and cooling medium switchings. The simulation results of the proposed algorithm gave a much better performance compared to a conventional cascade PI algorithm.

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Section: The Hybrid Batch-reactor Modelmentioning

confidence: 99%

Section: The Hybrid Batch-reactor Modelmentioning

confidence: 99%

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Predictive functional control of temperature in a pharmaceutical hybrid nonlinear batch reactor

Štampar

Sokolic

Karer

2013

CI&CEQ

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“…Studies on fuzzy model based control include fuzzy model identification [20] for alternate forms of fuzzy models [21] incorporating handling of uncertainties [22] and adaptation approaches [23]. Application of fuzzy logic control to batch and semi batch chemical and biochemical processes has been reported to track the variable set point trajectories based on process or operator knowledge [24][25][26][27][28][29][30][31]. Datadriven fuzzy modeling approaches have been proposed based on clustering approaches [32] where the operating data is analyzed and partitioned into clusters and used in combination with TakagiSugeno (TS) fuzzy models, or through online fuzzy rule formulation, Contents lists available at ScienceDirect journal homepage: www.elsevier.com/locate/isatrans simplification, combination and redundancy elimination based on different techniques [33].…”

Section: Introductionmentioning

confidence: 99%

“…is determined by linear regression based on the modeling part of the dataset, for each scaled parameterized output variable, and all such vectors are combined as in Eq (29). to form a complete weighing matrix, W.…”

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confidence: 99%