Multivariable process control - A survey

Ray, W. Harmon

doi:10.1016/0098-1354(83)80019-2

Cited by 22 publications

(7 citation statements)

References 287 publications

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“…Garaia and Morari proposed the internal model control in 1982, which advantage is able to induce PID control, Smith predictive control, Deterministic linear quadratic optimal feedback control and a variety of predictive control to the same framework [4], so the Smith predictive control can be regarded as a kind of special situation of the internal model control, we may wish to directly introduce the internal model (IMC) related design theory.…”

Section: Design Methods Of Internal Modelmentioning

confidence: 99%

Remark on the Application of Smith Predictor in Thickness Control System of the Rolling Mill

Zhao¹,

Pei-yan²

2015

Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

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Section: Design Methods Of Internal Modelmentioning

confidence: 99%

Remark on the Application of Smith Predictor in Thickness Control System of the Rolling Mill

Zhao¹,

Pei-yan²

2015

Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

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“…This is reflected in many published studies in the field of advanced control principles for the temperature control of batch reactors. In [4], a historical review of the development of control algorithms is presented. Surveys with examples and explanations of the theoretical and mathematical background for the following fields are given: optimal control [5] to [7]; internal model control [8] to [11]; predictive control [12] and [13]; adaptive control [14] and [15]; nonlinear control [16] to [20]; fuzzy-modelbased controls [21] and [22].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Control of a Hybrid Batch Reactor

Štampar¹,

Sokolic²,

Karer³

2013

SV-JME

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This paper introduces a new class of advanced control algorithms for batch-reactor temperature control where a nonlinear PI controller with a feed-forward part in a cascade combination with a P controller is used. The main goal of the algorithm is to optimize production by lowering the costs of the temperature control and increasing the quantity and quality of the chemical, biological, pharmaceutical, food and beverage products produced in these reactors. The algorithm is designed to cope with the constraints and the mixed discrete and continuous nature of the process by manipulating variables for heating and cooling. The stability and robustness of the control algorithm is proven through the Popov Stability Criterion. The simulation results of the proposed algorithm show much better performance compared to a conventional cascade PI control structure, which is most commonly used in industry. Furthermore, the study also shows real-time implementation on a bioreactor using the proposed algorithm.

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“…Classic feedback control and nonlinear model predictive control were synthesized in order to regulate ECD, as the main objective is drilling inside the operational window, that is, above porous pressure and below fracture pressure. Ray (1983) and Luyben (1990) pointed out that classic feedback PID controllers (Seborg et al, 2011) have been successfully employed under the majority of process conditions. The review papers by Embiruçu et al (1996), Richalet et al (1978), Garcia et al (1989), Qin and Badgwell (1996), Rodrigues and Odloak (2003), Karra et al (2008), Dittmar et al (2012) and Beschi et al, (2014) referred to successful classic controllers implemented in complex systems, representing real industrial processes.…”

Section: Controlmentioning

confidence: 99%

Smart Monitoring and Decision Making for Regulating Annulus Bottom Hole Pressure While Drilling Oil Wells

Vega

Vieira

Fernandes

et al. 2016

Braz. J. Chem. Eng.

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-Real time measurements and development of sensor technology are research issues associated with robustness and safety during oil well drilling operations, making feasible the diagnosis of problems and the development of a regulatory strategy. The major objective of this paper is to use an experimental plant and also field data, collected from a basin operation, offshore Brazil, for implementing smart monitoring and decision making, in order to assure drilling inside operational window, despite the commonly observed disturbances that produce fluctuations in the well annulus bottom hole pressure. Using real time measurements, the performance of a continuous automated drilling unit is analyzed under a scenario of varying levels of rate of penetration; aiming pressure set point tracking (inside the operational drilling window) and also rejecting kick, a phenomenon that occurs when the annulus bottom hole pressure is inferior to the porous pressure, producing the migration of reservoir fluids into the annulus region. Finally, an empirical model was built, using real experimental data from offshore Brazil basins, enabling diagnosing and regulating a real drilling site by employing classic and advanced control strategies.

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Multivariable process control - A survey

Cited by 22 publications

References 287 publications

Remark on the Application of Smith Predictor in Thickness Control System of the Rolling Mill

Remark on the Application of Smith Predictor in Thickness Control System of the Rolling Mill

Nonlinear Control of a Hybrid Batch Reactor

Smart Monitoring and Decision Making for Regulating Annulus Bottom Hole Pressure While Drilling Oil Wells

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