Sliding controller design for a nonlinear fermentation system

Suárez-Cortez, Rodolfo; Álvarez-Gallegos, Jaime; González-Mora, Estela

doi:10.1002/bit.260330402

Cited by 15 publications

(7 citation statements)

References 5 publications

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“…The following values for the characteristic coefficients and influent substrate concentration in the model are known [ Here, these values are considered as midpoints of the intervals (7)- (8). The dilution rate interval (6) depends on the characteristic coefficients intervals [3].…”

Section: Numerical Results and Simulation Investigationsmentioning

confidence: 99%

“…These problems are solved by using modern methods for control design (for example: adaptive, fuzzy, neural networks, etc.). However, most of the proposed control algorithms are not very robust or they are very complex and difficult for implementation in practice [1,8,9]. On the other hand, great attention has been paid in recent years to sliding mode control design [7,11,14].…”

Section: Introductionmentioning

confidence: 99%

“…The typical chattering phenomena in sliding mode are undesirable for delicate and precise control of FP. However, it should be noted that some attempts have been made toward solving the problems of sliding mode control design of FP [5,6,8,13]. Various techniques are proposed to decrease chattering phenomena (for example: introduction of boundary layer around sliding surface, filtering of control signal, realization the sliding mode to an auxiliary input variable, etc.…”

Section: Introductionmentioning

confidence: 99%

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Sliding-mode control of fermentation processes

Златева¹

1997

Bioprocess Engineering

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Continuous fermentation processes described by two nonlinear differential equations with uncertain parameters are considered. Sliding mode control design for these processes is proposed. The control design is carried out with direct use of nonlinear model, expert knowledge and on-line measurement of output variable only. Chattering phenomena are avoided by realizing the sliding mode with respect to the control input derivative. The excellent performance of presented control is proved through simulation investigations.

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Section: Numerical Results and Simulation Investigationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sliding-mode control of fermentation processes

Златева¹

1997

Bioprocess Engineering

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“…Ef¯uent substrate concentration in the anaerobic digester is controlled with the help of dilution rate without using any mathematical description of the speci®c growth rate. Suarez-Cortez et al [8] designed a sliding controller for regulation of substrate concentration in a continuous culture fermentation process. Recently, Dochain and Perrier [9] showed how to incorporate the well-known knowledge about the dynamics of biochemical processes in monitoring and control algorithms.…”

Section: Adaptive Control Approachesmentioning

confidence: 99%

Control of fermenters – a review

Rani¹,

Rao²

1999

Bioprocess Engineering

135

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Fermenter control has been an active area of research and has attracted more attention in recent years. This is due to the new developments in other related areas which can be exploited to overcome the inherent dif®-culties in fermenter control. Beginning with conventional regulatory control of operating variables such as temperature, pH and dissolved oxygen concentration, research in fermenter control has undergone signi®cant changes including the recent neural network based approaches. The objective of the paper is to focus the attention of the researchers to the developments in the control of batch, fedbatch and continuous fermenters over the past few years.

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“…Sliding Mode Controller (SMC) is a robust controller and it can perform exceptional tracking in presence of uncertainties and external disturbances. SMC is used extensively in many applications such as (a) Petrochemical systems for various processes control [1], (b) Servomotor position and speed control system [2], (c) Aerospace applications-the altitude control of spacecraft [3], (d) Automobile systems-the antilock braking control [4] (e) Robotics systems [5] (f) Mechanical systems [6]. The backstepping controller alone cannot provide the robustness to the uncertainty and disturbances to the present in the systems.…”

Section: Introductionmentioning

confidence: 99%

Proposal of Sliding Mode Controller based on Backstepping Technique for Control of Magnetic Levitation System

Saikia¹,

Baruah²

2021

IJEAT

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Magnetic Levitation System (MLS) is a nonlinear system and it is used extensively in many areas. The system's goal is to use the non-contact principle to magnetize the coil and cause the objects to float to a specific height. The magnetic force and the current flowing through the coil have a nonlinear relationship. In this paper first design of the backstepping controller is done to attain the wanted floating in presence of system related uncertainties and system behavior is witnessed. Then a Sliding Mode Controller (SMC) based on backstepping procedure is formulated. The control gains in this controller are designed in such a way that the characteristics polynomial whose coefficients are control gains is strictly Hurwitz and the closed loop system's asymptotic stability is assured. Simulations are performed and the magnetic ball tracking is observed considering step signal as reference in presence of disturbances. More accuracy is observed in terms of following the reference by the magnetic ball when it is used Sliding Mode Controller based on Backstepping technique instead of backstepping controller by considering pulse type disturbance. By simulation and analyzing results it is confirmed that the proposed control strategy is more effective.

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Sliding controller design for a nonlinear fermentation system

Cited by 15 publications

References 5 publications

Sliding-mode control of fermentation processes

Sliding-mode control of fermentation processes

Control of fermenters – a review

Proposal of Sliding Mode Controller based on Backstepping Technique for Control of Magnetic Levitation System

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