Feedback linearization controller design for continuous stirred-tank reactor (CSTR) in biodiesel production process

This paper studies the problem of designing a robust controller for the nonlinear multi-input multi-output continuous stirred tank reactor (CSTR) in the presence of uncertainties in parameters of the process model. For this purpose, by first using the feedback linearization method, the equivalent linearized model of the CSTR is obtained. In the second step, to cope with uncertainties, two robust controllers are designed; one using H∞ mixed-sensitivity and the other using DK-iteration method. In this step, the required performance and uncertainties are expressed in terms of the suitable weight functions. Finally, the performance of the resulting feedback system is verified through numerical simulations.

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PID Controller Design for Continuous Stirred Tank Reactor (CSTR) Temperature Control

10.1007/978-981-16-4149-7_30 ◽

2021 ◽

pp. 337-347

Author(s):

Bhumica Dutta ◽

Vijay Kumar Tayal

Keyword(s):

Temperature Control ◽

Pid Controller ◽

Controller Design ◽

Stirred Tank ◽

Continuous Stirred Tank Reactor ◽

Stirred Tank Reactor ◽

Tank Reactor ◽

Pid Controller Design ◽

Continuous Stirred Tank

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Effects on Biodiesel Production Caused by Feed Oil Changes in a Continuous Stirred-Tank Reactor

Applied Sciences ◽

10.3390/app10030992 ◽

2020 ◽

Vol 10 (3) ◽

pp. 992 ◽

Cited By ~ 2

Author(s):

Juan P. Castillo Gónzalez ◽

Peggy E. Álvarez Gutiérrez ◽

Manuel Adam Medina ◽

Betty Y. López Zapata ◽

Gerardo V. Ramírez Guerrero ◽

...

Keyword(s):

Raw Materials ◽

Continuous Production ◽

Biodiesel Production ◽

Stirred Tank ◽

Continuous Reactor ◽

Continuous Stirred Tank Reactor ◽

Stirred Tank Reactor ◽

Tank Reactor ◽

Continuous Stirred Tank ◽

Model Oil

Continuous production processes and an adequate supply of raw materials are necessary to satisfy the growing demand for biodiesel. The use of different feed oils could be necessary to ensure sufficient supply for biodiesel production in certain circumstances; however, changing feed oil during the operation of a continuous reactor causes process disturbances. The present study analyses the effect of feed oil changes on the continuous operation of a industrial continuous stirred-tank reactor (CSTR) using a model which takes the dynamics of oil changes into account. The models previously reported only consider the operation of reactor with only one vegetable oil. The model in this work was developed by mass and energy balances. A methodology to model oil changes is presented. Glycerides and esters were characterized using adequate approaches. Moreover, accurate methods for predicting essential properties in the biodiesel manufacturing were used for the estimation of their thermo-physical properties. The kinetic parameters of the transesterifications were calculated from consistent studies selected from an exhaustive literature revision. The results show that temperature is practically not affected after oil changes; however, the ester concentration varies considerably. The ester mass fraction varying by up to 22.07% after an disturbance.

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Simulation and Optimization of Biodiesel Production by Soybean Oil Transesterification in Non-Ideal Continuous Stirred-Tank Reactor

International Journal of Chemical Reactor Engineering ◽

10.2202/1542-6580.2207 ◽

2010 ◽

Vol 8 (1) ◽

Cited By ~ 3

Author(s):

Giovanilton Ferreira Silva ◽

Marcio Silva Castro ◽

Jouciane Sousa Silva ◽

Jocélia Sousa Mendes ◽

Andrea Lopes de Oliveira Ferreira

Keyword(s):

Soybean Oil ◽

Factorial Design ◽

Response Surface ◽

Biodiesel Production ◽

Stirred Tank ◽

Continuous Stirred Tank Reactor ◽

Stirred Tank Reactor ◽

Tank Reactor ◽

Reactor Volume ◽

Continuous Stirred Tank

This research examines the transesterification reaction of soybean oil with methanol in order to model and simulate a non-ideal continuous stirred-tank reactor. A mathematical model has been developed for the reactor. The biodiesel production process was optimized by application of factorial design 25 and response surface methodology. Factorial design and response surface analysis were combined with modeling and simulation to determine the operating conditions that maximize biodiesel production and minimize reactor volume. The optimum results obtained were conversion (0.95), molar ratio alcohol/oil (6:1), temperature (60.5 oC), ? (0.75), bypass (0.10) and reactor volume (1,500 L).

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