Control Strategies for Thermal Processes in Chemical Industry

Dulău, Mircea

doi:10.3390/proceedings2020063034

Cited by 2 publications

(2 citation statements)

References 9 publications

(22 reference statements)

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“…Thus, it has been replaced by the controllers. The controller-integrated chemical plant has increased system stability and flexibility (Dulău 2020). These benefits significantly improve production and economy of scale in the chemical industry.…”

Section: Fig 2 Process Control In the Chemical Industrymentioning

confidence: 99%

Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants

Mohindru

2024

Artif Intell Rev

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The chemical production process is tedious due to the integration of different types of equipment and variables. Designing the controller is crucial in the chemical industry due to the interactive and non-linear system behaviour. An intelligent autonomous controller can improve the operating efficiency of the industry. Although several controllers have been developed, different system failures are frequently reported. Hence, controllers such as proportional integral derivative (PID), fuzzy logic controller (FLC), and hybrid fuzzy PID (F-PID) applied in the chemical industries are critically reviewed in the paper. Initially, the PID controller-based approaches are reviewed for different purposes in the chemical industry. After that, the FLC-based controllers-based papers are reviewed. In order to satisfy the issues in both controllers, the H-PID controllers have been reviewed. This review paper will provide an effective solution for operation control in the chemical industry under different operating conditions.

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Section: Fig 2 Process Control In the Chemical Industrymentioning

confidence: 99%

Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants

Mohindru

2024

Artif Intell Rev

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“…The relation of the approximating polynomial of the 7th degree is: The slightly "deformed" shape of the experimental curve is due to the relatively high value, in the context of the present application, of the experimental data sampling step. In order to obtain the possibility of applying the identification methods of the mathematical model that describes the propagation of the fault, it is necessary to approximate, based on the experimental response the most probable response [26][27][28]. In this context, the experimental response is approximated by using a polynomial curve of the 7th degree.…”

Section: Mathematical Models For Experimental Response Determination ...mentioning

confidence: 99%

Modeling and Simulation of High Voltage Power Lines under Transient and Persistent Faults

Fișcă

Abrudean²,

Mureșan³

et al. 2022

Mathematics

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The work proposes an original method for modeling and simulating the triggering of 110 kV interconnection power lines in case of common faults, such as transient or persistent faults. Urban and industrial areas, surrounding urban areas, require a high energy consumption that is being supplied through 110 kV overhead power lines, responsible for distributing power to the industrial and domestic consumers. High voltage distribution power lines are most prone to failure, due to their exposure, affecting a large number of consumers if a fault occurs. Faults of power lines in service certify that currently there is no perfectly controllable operation mode in terms of load rating, environmental factors, insulation resistance, or mechanical resistance, which would allow total avoidance of faults, it is only possible to reduce the impact they have on the network as a whole. Mathematical models have been developed to determine the experimental voltage and current responses describing the fault propagation, expressed as a 7th-degree polynomial curve, as a second-order transfer function or as the Gaussian model type. By comparing these mathematical models, the most probable answers that can lead to the development of a control structure for rapid identification of a fault were obtained, with the possibility of triggering the line protection relay. In the final part of the manuscript, the viability of applying artificial intelligence techniques, for the approached fault management application, is proven. The developed control structure evaluates the nature of the fault and determines a faster reaction of the line protection causing an increase in the performance of the distribution service.

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Control Strategies for Thermal Processes in Chemical Industry

Cited by 2 publications

References 9 publications

Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants

Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants

Modeling and Simulation of High Voltage Power Lines under Transient and Persistent Faults

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