Toward an implementation of sliding mode control to chemical processes

Camacho, Oscar; Smith, Carlos A.; Chacón, Édgar

doi:10.1109/isie.1997.648893

Cited by 17 publications

(12 citation statements)

References 3 publications

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“…Therefore, for the realization of the control system, it is important to make these equations linear. The above model is made linear by the Taylor series approximation [46]. The transfer function is determined using the linear model and steady-state values of parameters (Table 1).…”

Section: Yeast Fermentation Processmentioning

confidence: 99%

A Discrete-Time Sliding Mode Controller for the Fermentation Process

Iskrenovic-Momcilovic

2021

TFAMENA

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This paper proposes a discrete-time sliding mode controller for the fermentation process, which is adequately approximated by the first-order plus dead time model. The contribution of the paper is an investigation into the suitable approximation of the time delay for discrete-time sliding mode controller. The dead time is considered in two ways by the first-order Taylor series approximation and the first-order Pade approximation. In the first case, the discrete-time sliding mode controller is based on the integral compensation of an output error, and in the second case, the stable system centre method is used. Numerical simulation examples of the yeast fermentation process are given to show the effectiveness of these two methods.

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Section: Yeast Fermentation Processmentioning

confidence: 99%

A Discrete-Time Sliding Mode Controller for the Fermentation Process

Iskrenovic-Momcilovic

2021

TFAMENA

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“…A high speed switching control action has been used to switch between different structures and the system state trajectory is forced to move along a chosen manifold in the state space, called the switching manifold. The behavior of the closed loop system is thus determined by the sliding surface [3,4,5,7,8]. This paper is organized as follows.…”

Section: …………………………………………………………………………………………………… Introduction:-mentioning

confidence: 99%

“…It is important, then to make these equations linear for control system design and analysis. So by Taylor series approximation the model is made linear [8]. Using the linearized model and the steady state operating values, transfer function is determined.…”

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confidence: 99%

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Sliding Mode Control Design for Continuous Yeast Fermentation Process

Musmade¹

2019

IJAR

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220000 j/mol Constant of growth inhibition by ethanol, Kp 0.139 g/l Const. of fermentation inhibition by ethanol, Kp1 0.070 g/l Constant in substrate term for growth, Ks 1.030 g/l Constant in substrate term for ethanol production,Ks1 1.680 g/l Universal gas constant, R 8.31 J/mol. k Growth yield coefficient for ethanol, Rsp 0.435 Growth yield coefficient for cells, Rsx 0.607 A1, pre-exponential factor in Arhenius equation 9.5x10 8

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“…The SMCr implementation in DCS's (Digital Controller Systems) is very simple and can be outfitted based on a PID algorithm [4]. …”

Section: I Copjc Lus Ion Smentioning

confidence: 99%

Sliding mode control: a robust approach to integrating systems with dead time

Camacho

Rojas

Garcı́a

et al.

Proceedings of the 1998 Second IEEE International Caracas Conference on Devices, Circuits and Systems. ICCDCS 98. On the 70th A

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This article presents an easy way to control integrating systems using a Sliding Mode Controller based on a First-Order-Plus-Dead-Time (FOPDT) model of the process. A simple method of system identification is proposed to obtain the FOPDT model parameters. A set of tuning equations for the controller are established as functions of the parameters. Finally, an integrating chemical process is simulated and the proposed controller's performance is judged .

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Toward an implementation of sliding mode control to chemical processes

Cited by 17 publications

References 3 publications

A Discrete-Time Sliding Mode Controller for the Fermentation Process

A Discrete-Time Sliding Mode Controller for the Fermentation Process

Sliding Mode Control Design for Continuous Yeast Fermentation Process

Sliding mode control: a robust approach to integrating systems with dead time

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