Control Robusto de Orden Fraccionario de la Presión del Vapor en el Domo Superior de una Caldera Bagacera

Rivas-Pérez, Raul; Castillo-García, Fernando J.; Sotomayor-Moriano, Javier; Feliu-Batlle, Vicente

doi:10.1016/j.riai.2013.11.002

Cited by 13 publications

(6 citation statements)

References 18 publications

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“…Es por ello, que con la intención de superar estas limitaciones el PS ha sido objeto de diferentes modificaciones [15,[17][18][19][20][21][22]24].…”

Section: Identificación Del Modelo Matemático Del Proceso Objeto unclassified

Temperature Control Based on a Modified Smith Predictor for Injectable Drug Formulations

González

Rivas-Pérez

Feliu-Batlle

et al. 2015

IEEE Latin Am. Trans.

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This paper proposes a modified Smith predictor scheme for temperature control during the formulation of injectable drugs in chemical reactors. The dynamic model of this process is obtained from an identification procedure applied in a real chemical reactor of the pharmaceutical industry. This identification procedure yields a second order with dominant time delay transfer function. A PI controller combined with a modified Smith predictor is therefore designed which behaves robustly against the effect of measured or unmeasured external disturbances. Simulated results compare the performance of the proposed controller with a standard PI controller, also combined with a conventional Smith predictor, and with Astrom modified Smith predictor. Four performance indexes have been used in this comparison: three related to the output performance (settling time, overshooting, and IAE), and a fourth one related to the control effort (EU). The analysis of these indexes shows that the proposed controller provides lower values of the compared indexes.

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“…Es por ello, que con la intención de superar estas limitaciones el PS ha sido objeto de diferentes modificaciones [15,[17][18][19][20][21][22]24].…”

Section: Identificación Del Modelo Matemático Del Proceso Objeto unclassified

Temperature Control Based on a Modified Smith Predictor for Injectable Drug Formulations

González

Rivas-Pérez

Feliu-Batlle

et al. 2015

IEEE Latin Am. Trans.

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“…In these plants, the most implemented controller is the proportional integral derivative (PID), owing to the fact that many process engineers are much more familiar with this class of controller than with sophisticated advanced controllers, due their functional simplicity, which allows them to operate in a straightforward mode [53,54]. Moreover, it is well-known that in diverse industrial processes, the PID controllers show good performance, robustness, and simple implementation [55,56]. However, when the seawater RO desalination plants are characterized by time-varying dynamic behaviors, the PID controllers are not sufficient and fail to provide satisfactory performance [32,35,45].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination

et al. 2019

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This article addresses the design and real-time implementation of an expert model predictive controller (Expert MPC) for the control of the brackish and seawater desalination process in a pilot-scale reverse osmosis (RO) plant. This pilot-scale plant is used in order to obtain the optimal operation conditions of the RO desalination process through the implementation of different control strategies, as well as in the training of operators in the new control and management technologies. A dynamical mathematical model of this plant has been developed based on the available field data and system identification procedures. Predictions of the obtained model were in good agreement with the available field data. The designed Expert MPC is distinguished by having a plant identification block and an expert system. The expert system, using a rule-based approach and the evolution of the plant variables, can modify the plant identification block, the plant prediction model, and/or the optimizer in order to improve the performance, robustness and operational safety of the overall control system. The real-time comparison results of the designed Expert MPC and a well-designed model predictive controller (MPC) show that the proposed Expert MPC has a significantly better performance and, therefore, higher accuracy and robustness.

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“…In recent years, increasing attention has been paid to fractional-order calculus as a powerful tool with which to model and control a broad range of real industrial processes, e.g., [7,[25][26][27][28][29][30][31][32][33][34]. In particular, fractional order differential equations are more adequate than integer-order equations when modeling certain processes in which distributed dynamics are dominant, as occurs in electrochemical processes [35,36], thermal processes [37,38], or hydraulic processes [39,40].…”

Section: Introductionmentioning

confidence: 99%

On the Modelling and Control of a Laboratory Prototype of a Hydraulic Canal Based on a TITO Fractional-Order Model

San-Millan

Feliu-Talegón

Feliu-Batlle

et al. 2017

Entropy

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In this paper a two-input, two-output (TITO) fractional order mathematical model of a laboratory prototype of a hydraulic canal is proposed. This canal is made up of two pools that have a strong interaction between them. The inputs of the TITO model are the pump flow and the opening of an intermediate gate, and the two outputs are the water levels in the two pools. Based on the experiments developed in a laboratory prototype the parameters of the mathematical models have been identified. Then, considering the TITO model, a first control loop of the pump is closed to reproduce real-world conditions in which the water level of the first pool is not dependent on the opening of the upstream gate, thus leading to an equivalent single input, single output (SISO) system. The comparison of the resulting system with the classical first order systems typically utilized to model hydraulic canals shows that the proposed model has significantly lower error: about 50%, and, therefore, higher accuracy in capturing the canal dynamics. This model has also been utilized to optimize the design of the controller of the pump of the canal, thus achieving a faster response to step commands and thus minimizing the interaction between the two pools of the experimental platform.

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Control Robusto de Orden Fraccionario de la Presión del Vapor en el Domo Superior de una Caldera Bagacera

Cited by 13 publications

References 18 publications

Temperature Control Based on a Modified Smith Predictor for Injectable Drug Formulations

Temperature Control Based on a Modified Smith Predictor for Injectable Drug Formulations

Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination

On the Modelling and Control of a Laboratory Prototype of a Hydraulic Canal Based on a TITO Fractional-Order Model

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