Efficient pressure regulation in nonlinear shell-and-tube steam condensers via a Novel TDn(1 + PIDn) controller and DCSA algorithm
Abstract Steam condensers are vital components of thermal power plants, responsible for converting turbine exhaust steam back into water for reuse in the power generation cycle. Effective pressure regulation is crucial to ensure operational efficiency and equipment safety. However, conventional cont...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-86107-7 |
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| author | Mostafa Jabari Serdar Ekinci Davut Izci Mohit Bajaj Vojtech Blazek Lukas Prokop |
| author_facet | Mostafa Jabari Serdar Ekinci Davut Izci Mohit Bajaj Vojtech Blazek Lukas Prokop |
| author_sort | Mostafa Jabari |
| collection | DOAJ |
| description | Abstract Steam condensers are vital components of thermal power plants, responsible for converting turbine exhaust steam back into water for reuse in the power generation cycle. Effective pressure regulation is crucial to ensure operational efficiency and equipment safety. However, conventional control strategies, such as PI, PI-PDn and FOPID controllers, often struggle to manage the nonlinearities and disturbances inherent in steam condenser systems. This paper introduces a novel multistage controller, TDn(1 + PIDn), optimized using the diligent crow search algorithm (DCSA). The proposed controller is specifically designed to address system nonlinearities, external disturbances, and the complexities of dynamic responses in steam condensers. Key contributions include the development of a flexible multi-stage control framework and its optimization via DCSA to achieve enhanced stability, faster response times, and reduced steady-state errors. Simulation results demonstrate that the TDn(1 + PIDn) controller outperforms conventional control strategies, including those tuned with advanced metaheuristic algorithms, in terms of settling time, overshoot, and integral of time weighted absolute error (ITAE). This study marks a significant advancement in pressure regulation strategies, providing a robust and adaptive solution for nonlinear industrial systems. |
| format | Article |
| id | doaj-art-f5c32cc9cafd42ad8541218e26707cd5 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-f5c32cc9cafd42ad8541218e26707cd52025-01-19T12:20:51ZengNature PortfolioScientific Reports2045-23222025-01-0115112210.1038/s41598-025-86107-7Efficient pressure regulation in nonlinear shell-and-tube steam condensers via a Novel TDn(1 + PIDn) controller and DCSA algorithmMostafa Jabari0Serdar Ekinci1Davut Izci2Mohit Bajaj3Vojtech Blazek4Lukas Prokop5Faculty of Electrical Engineering, Sahand University of TechnologyDepartment of Computer Engineering, Batman UniversityDepartment of Computer Engineering, Batman UniversityDepartment of Electrical Engineering, Graphic Era (Deemed to be University)ENET Centre, VSB—Technical University of OstravaENET Centre, VSB—Technical University of OstravaAbstract Steam condensers are vital components of thermal power plants, responsible for converting turbine exhaust steam back into water for reuse in the power generation cycle. Effective pressure regulation is crucial to ensure operational efficiency and equipment safety. However, conventional control strategies, such as PI, PI-PDn and FOPID controllers, often struggle to manage the nonlinearities and disturbances inherent in steam condenser systems. This paper introduces a novel multistage controller, TDn(1 + PIDn), optimized using the diligent crow search algorithm (DCSA). The proposed controller is specifically designed to address system nonlinearities, external disturbances, and the complexities of dynamic responses in steam condensers. Key contributions include the development of a flexible multi-stage control framework and its optimization via DCSA to achieve enhanced stability, faster response times, and reduced steady-state errors. Simulation results demonstrate that the TDn(1 + PIDn) controller outperforms conventional control strategies, including those tuned with advanced metaheuristic algorithms, in terms of settling time, overshoot, and integral of time weighted absolute error (ITAE). This study marks a significant advancement in pressure regulation strategies, providing a robust and adaptive solution for nonlinear industrial systems.https://doi.org/10.1038/s41598-025-86107-7Nonlinear controlSteam condensersPressure regulationPID controllerCrow search algorithm (CSA)DCSA optimization |
| spellingShingle | Mostafa Jabari Serdar Ekinci Davut Izci Mohit Bajaj Vojtech Blazek Lukas Prokop Efficient pressure regulation in nonlinear shell-and-tube steam condensers via a Novel TDn(1 + PIDn) controller and DCSA algorithm Scientific Reports Nonlinear control Steam condensers Pressure regulation PID controller Crow search algorithm (CSA) DCSA optimization |
| title | Efficient pressure regulation in nonlinear shell-and-tube steam condensers via a Novel TDn(1 + PIDn) controller and DCSA algorithm |
| title_full | Efficient pressure regulation in nonlinear shell-and-tube steam condensers via a Novel TDn(1 + PIDn) controller and DCSA algorithm |
| title_fullStr | Efficient pressure regulation in nonlinear shell-and-tube steam condensers via a Novel TDn(1 + PIDn) controller and DCSA algorithm |
| title_full_unstemmed | Efficient pressure regulation in nonlinear shell-and-tube steam condensers via a Novel TDn(1 + PIDn) controller and DCSA algorithm |
| title_short | Efficient pressure regulation in nonlinear shell-and-tube steam condensers via a Novel TDn(1 + PIDn) controller and DCSA algorithm |
| title_sort | efficient pressure regulation in nonlinear shell and tube steam condensers via a novel tdn 1 pidn controller and dcsa algorithm |
| topic | Nonlinear control Steam condensers Pressure regulation PID controller Crow search algorithm (CSA) DCSA optimization |
| url | https://doi.org/10.1038/s41598-025-86107-7 |
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