The automatic control system of a multi-component nonequilibrium extraction process in the pulse column

Goryunov, Aleksey G.; Mikhaylov, V.S.

doi:10.1016/j.jprocont.2012.04.009

Cited by 8 publications

(8 citation statements)

References 7 publications

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“…In the near future the research on the suggested method is planned to be carried out in presence of disturbances in more complicated plant models, for example, in models of chemical processes [52,53], water-treatment networks [57,58], power control channels of nuclear reactors and others. In addition, a comparison with the model predictive control (MPC) [59,60] will be investigated.…”

Section: Results Of the Closed-loop Transients Coming From The Applicmentioning

confidence: 99%

“…integrated separations, extractions [52,53], crystallization processes to purify U and Pu from other fusion side-components) any processing step has a high level of automation but, in the contrary an insufficient automation in process control occurs. Moreover field operators need to work within the control loops of complex physicochemical processes.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier

Manenti

Rossi

Goryunov

et al. 2015

Resource-Efficient Technologies

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Typically chemical processes have significant nonlinear dynamics, but despite this, industry is conventionally still using PID-based regulatory control systems. Moreover, process units are interconnected, in terms of inlet and outlet material/energy flows, to other neighboring units, thus their dynamic behavior is strongly influenced by these connections and, as a consequence, conventional control systems performance often proves to be poor. This paper proposes a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller, also exploiting the results coming from an identification procedure that is carried on when an unmeasured step disturbance of any shape affects the process behavior.In addition, this paper compares a fuzzy logic based PID with PID regulators whose tuning is performed by standard and well-known methods. In some cases the proposed tuning methodology ensures a control performance that is comparable to that guaranteed by simpler and more common tuning methods. However, in case of dynamic changes in the parameters of the controlled system, conventionally tuned PID controllers do not show to be robust enough, thus suggesting that fuzzy logic based PIDs are definitively more reliable and effective.

show abstract

Section: Results Of the Closed-loop Transients Coming From The Applicmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier

Manenti

Rossi

Goryunov

et al. 2015

Resource-Efficient Technologies

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show abstract

“…In addition, we will present the developed model as a cell model, where all the workspace is divided into n cells. The mechanism of the construction of this type of model is well represented in the [4].…”

Section: Description Of the Simulation Objectmentioning

confidence: 99%

Model of mass transfer processes in the cascade of centrifugal extractors

Zelenetskaya

Goryunov

Daneikina

2016

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Practically, in chemical and nuclear industries (i.e. integrated separations, extractions [52,53], crystallization processes to purify U and Pu from other fusion side-components) any processing step has a high level of automation but, in the contrary an insufficient automation in process control occurs. Moreover field operators need to work within the control loops of complex physicochemical processes.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier

Nadezhdin¹,

Manenti²,

Rossi³

et al. 2018

REFFIT

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Typically chemical processes have significant nonlinear dynamics, but despite this, industry is conventionally still using PID-based regulatory control systems. Moreover, process units are interconnected, in terms of inlet and outlet material/energy flows, to other neighboring units, thus their dynamic behavior is strongly influenced by these connections and, as a consequence, conventional control systems performance often proves to be poor. This paper proposes a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller, also exploiting the results coming from an identification procedure that is carried on when an unmeasured step disturbance of any shape affects the process behavior. In addition, this paper compares a fuzzy logic based PID with PID regulators whose tuning is performed by standard and well-known methods. In some cases the proposed tuning methodology ensures a control performance that is comparable to that guaranteed by simpler and more common tuning methods. However, in case of dynamic changes in the parameters of the controlled system, conventionally tuned PID controllers do not show to be robust enough, thus suggesting that fuzzy logic based PIDs are definitively more reliable and effective.

show abstract

The automatic control system of a multi-component nonequilibrium extraction process in the pulse column

Cited by 8 publications

References 7 publications

Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier

Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier

Model of mass transfer processes in the cascade of centrifugal extractors

Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier

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