FUZZY GAIN SCHEDULING: COMPARISON OF THE CONTROL STRATEGY
The use of better control strategies has a great interest in all kinds of industries in recent years since it allows better use of resources and therefore becomes an important factor in reducing costs associated with reprocessing and unnecessary spending of raw materials. This research evaluates the...
- Autores:
-
SAJONA, JEFFERSON
VELILLA, WILMER
FÁBREGAS, JONATHAN
PALENCIA, ARGEMIRO
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12225
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12225
https://scopus.utb.elogim.com/record/display.uri?eid=2-s2.0-85127201999&origin=resultslist&sort=plf-f&src=s&sid=cfff9c29fb5dc3cec32688c021d6d0cd&sot=b&sdt=b&s=TITLE-ABS-KEY%28FUZZY+GAIN+SCHEDULING%3A+COMPARISON+OF+THE+CONTROL+STRATEGY%29&sl=72&sessionSearchId=cfff9c29fb5dc3cec32688c021d6d0cd
- Palabra clave:
- Electric Power System Interconnection;
Frequency Control;
Power System
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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FUZZY GAIN SCHEDULING: COMPARISON OF THE CONTROL STRATEGY |
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FUZZY GAIN SCHEDULING: COMPARISON OF THE CONTROL STRATEGY |
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FUZZY GAIN SCHEDULING: COMPARISON OF THE CONTROL STRATEGY Electric Power System Interconnection; Frequency Control; Power System |
| title_short |
FUZZY GAIN SCHEDULING: COMPARISON OF THE CONTROL STRATEGY |
| title_full |
FUZZY GAIN SCHEDULING: COMPARISON OF THE CONTROL STRATEGY |
| title_fullStr |
FUZZY GAIN SCHEDULING: COMPARISON OF THE CONTROL STRATEGY |
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FUZZY GAIN SCHEDULING: COMPARISON OF THE CONTROL STRATEGY |
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FUZZY GAIN SCHEDULING: COMPARISON OF THE CONTROL STRATEGY |
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SAJONA, JEFFERSON VELILLA, WILMER FÁBREGAS, JONATHAN PALENCIA, ARGEMIRO |
| dc.contributor.author.none.fl_str_mv |
SAJONA, JEFFERSON VELILLA, WILMER FÁBREGAS, JONATHAN PALENCIA, ARGEMIRO |
| dc.subject.keywords.spa.fl_str_mv |
Electric Power System Interconnection; Frequency Control; Power System |
| topic |
Electric Power System Interconnection; Frequency Control; Power System |
| description |
The use of better control strategies has a great interest in all kinds of industries in recent years since it allows better use of resources and therefore becomes an important factor in reducing costs associated with reprocessing and unnecessary spending of raw materials. This research evaluates the performance of a control strategy, in which the tuning parameters of a classic controller are supplied by a fuzzy logic algorithm (Fuzzy Gain Scheduling). the behaviour of the strategy is tested in a mixer-reactor system and is compared with that achieved through the implementation of a classic controller, a dynamic matrix system, and fuzzy logic control. In the results, it can be seen that the Fuzzy Gain Scheduling strategy presents a good behaviour, improving around 25% compared with the other alternatives, this added to the advantage of being able to include previous experience on the process, in the actions that are taken by the strategy to keep desired operating ranges. © 2022 School of Engineering, Taylor's University. |
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2022 |
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2022 |
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2023-07-19T21:23:43Z |
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2023-07-19T21:23:43Z |
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2023 |
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SAJONA, J., VELILLA, W., FÁBREGAS, J., & PALENCIA, A. (2022). Fuzzy gain scheduling: comparison of the control strategy. Journal of Engineering Science and Technology, 17(2), 1356-1368. |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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SAJONA, J., VELILLA, W., FÁBREGAS, J., & PALENCIA, A. (2022). Fuzzy gain scheduling: comparison of the control strategy. Journal of Engineering Science and Technology, 17(2), 1356-1368. Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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13 páginas |
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Cartagena de Indias |
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SAJONA, JEFFERSON0227a8cf-acf7-4461-b07c-2fb7ddb54ff5VELILLA, WILMER4644eaee-a6ba-4c12-b41f-e769e44ec49dFÁBREGAS, JONATHAN7be4d670-0c98-4dc7-841e-7a6e64bf0877PALENCIA, ARGEMIRO5f46e66d-865c-4e7f-a342-9577ac08e8752023-07-19T21:23:43Z2023-07-19T21:23:43Z20222023SAJONA, J., VELILLA, W., FÁBREGAS, J., & PALENCIA, A. (2022). Fuzzy gain scheduling: comparison of the control strategy. Journal of Engineering Science and Technology, 17(2), 1356-1368.https://hdl.handle.net/20.500.12585/12225https://scopus.utb.elogim.com/record/display.uri?eid=2-s2.0-85127201999&origin=resultslist&sort=plf-f&src=s&sid=cfff9c29fb5dc3cec32688c021d6d0cd&sot=b&sdt=b&s=TITLE-ABS-KEY%28FUZZY+GAIN+SCHEDULING%3A+COMPARISON+OF+THE+CONTROL+STRATEGY%29&sl=72&sessionSearchId=cfff9c29fb5dc3cec32688c021d6d0cdUniversidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe use of better control strategies has a great interest in all kinds of industries in recent years since it allows better use of resources and therefore becomes an important factor in reducing costs associated with reprocessing and unnecessary spending of raw materials. This research evaluates the performance of a control strategy, in which the tuning parameters of a classic controller are supplied by a fuzzy logic algorithm (Fuzzy Gain Scheduling). the behaviour of the strategy is tested in a mixer-reactor system and is compared with that achieved through the implementation of a classic controller, a dynamic matrix system, and fuzzy logic control. In the results, it can be seen that the Fuzzy Gain Scheduling strategy presents a good behaviour, improving around 25% compared with the other alternatives, this added to the advantage of being able to include previous experience on the process, in the actions that are taken by the strategy to keep desired operating ranges. © 2022 School of Engineering, Taylor's University.13 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Journal of Engineering Science and TechnologyFUZZY GAIN SCHEDULING: COMPARISON OF THE CONTROL STRATEGYinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Electric Power System Interconnection;Frequency Control;Power SystemCartagena de IndiasZhao, Z.-Y., Tomizuka, M., Isaka, S. Fuzzy Gain Scheduling of PID Controllers (1993) IEEE Transactions on Systems, Man and Cybernetics, 23 (5), pp. 1392-1398. Cited 611 times. doi: 10.1109/21.260670Ling, Cheng, Edgar, Thomas F. New fuzzy gain scheduling algorithm for process control (1992) Proceedings of the American Control Conference, 3, pp. 2284-2290. Cited 18 times. ISBN: 0780302109Lee, K.B. Application of a fuzzy logic based self-tuning PID controller to the control of drum water level of a boiler for a power generating plant (1994) IEE Conference Publication, 2 (388), pp. 849-854. Cited 3 times.Ling, Cheng, Edgar, Thomas F. Experimental verification of model-based fuzzy gain scheduling technique (1994) Proceedings of the American Control Conference, 3, pp. 2475-2480. Cited 6 times.Ling, C., Edgar, T.F. Real-time control of a water-gas shift reactor by a model-based fuzzy gain scheduling technique (1997) Journal of Process Control, 7 (4), pp. 239-253. Cited 13 times. doi: 10.1016/S0959-1524(97)00001-2Müller, A., Marsili-Libelli, S., Aivasidis, A., Lloyd, T., Kroner, S., Wandrey, C. Fuzzy control of disturbances in a wastewater treatment process (1997) Water Research, 31 (12), pp. 3157-3167. Cited 58 times. www.elsevier.com/locate/watres doi: 10.1016/S0043-1354(97)00215-7Abilov, A.G., Zeybek, Z., Tuzunalp, O., Telatar, Z. Fuzzy temperature control of industrial refineries furnaces through combined feedforward/feedback multivariable cascade systems (2002) Chemical Engineering and Processing, 41 (1), pp. 87-98. Cited 41 times. doi: 10.1016/S0255-2701(01)00119-2Sarma, P. Multivariable gain-scheduled fuzzy logic control of an exothermic reactor (2001) Engineering Applications of Artificial Intelligence, 14 (4), pp. 457-471. Cited 15 times. doi: 10.1016/S0952-1976(01)00003-3Çam, E., Kocaarslan, I. A fuzzy gain scheduling PI controller application for an interconnected electrical power system (2005) Electric Power Systems Research, 73 (3), pp. 267-274. Cited 71 times. doi: 10.1016/j.epsr.2004.06.013Fuente, M.J., Sainz, G.I., Alonso, M., Aguado, A. Neuro-fuzzy control of a pH plant (Open Access) (2005) IFAC Proceedings Volumes (IFAC-PapersOnline), 38 (1), pp. 195-200. Cited 2 times. http://www.ifac-papersonline.net/browser?browse=c ISBN: 008045108X; 978-008045108-4 doi: 10.3182/20050703-6-cz-1902.01608Fuente, M.J., Robles, C., Casado, O., Syafiie, S., Tadeo, F. Fuzzy control of a neutralization process (2006) Engineering Applications of Artificial Intelligence, 19 (8), pp. 905-914. Cited 47 times. doi: 10.1016/j.engappai.2006.01.008Juang, Y.-T., Chang, Y.-T., Huang, C.-P. Design of fuzzy PID controllers using modified triangular membership functions (2008) Information Sciences, 178 (5), pp. 1325-1333. Cited 80 times. doi: 10.1016/j.ins.2007.10.020White, A., Choi, J., Nagamune, R., Zhu, G. Gain-scheduling control of port-fuel-injection processes (2011) Control Engineering Practice, 19 (4), pp. 380-394. Cited 25 times. doi: 10.1016/j.conengprac.2010.12.007Yang, Y., Bian, H. Design and realization of fuzzy self-tuning PID water temperature controller based on PLC (2012) Proceedings of the 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2012, 2, art. no. 6305711, pp. 3-6. Cited 5 times. ISBN: 978-076954721-3 doi: 10.1109/IHMSC.2012.97Vijaya Chandrakala, K.R.M., Balamurugan, S., Sankaranarayanan, K. Variable structure fuzzy gain scheduling based load frequency controller for multi source multi area hydro thermal system (2013) International Journal of Electrical Power and Energy Systems, 53 (1), pp. 375-381. Cited 115 times. doi: 10.1016/j.ijepes.2013.05.009Alsharkawi, A., Rossiter, J.A. Gain Scheduling Dual Mode MPC for a Solar Thermal Power Plant (2016) IFAC-PapersOnLine, 49 (18), pp. 128-133. Cited 10 times. http://www.journals.elsevier.com/ifac-papersonline/ doi: 10.1016/j.ifacol.2016.10.151Tavakoli, A.R., Seifi, A.R. Adaptive self-tuning PID fuzzy sliding mode control for mitigating power system oscillations (2016) Neurocomputing, 218, pp. 146-153. Cited 21 times. www.elsevier.com/locate/neucom doi: 10.1016/j.neucom.2016.08.061Bingi, K., Ibrahim, R., Karsiti, M.N., Hassan, S.M. Fuzzy gain scheduled set-point weighted PID controller for unstable CSTR systems (2017) Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017, pp. 289-293. Cited 14 times. ISBN: 978-150905559-3 doi: 10.1109/ICSIPA.2017.8120623Szedlak-Stinean, A.-I., Bojan-Dragos, C.-A., Precup, R.-E., Radac, M.-B. Gain-Scheduling Control Solutions for a Strip Winding System with Variable Moment of Inertia (2018) IFAC-PapersOnLine, 51 (4), pp. 370-375. Cited 4 times. http://www.journals.elsevier.com/ifac-papersonline/ doi: 10.1016/j.ifacol.2018.06.094Wu, Z., Li, D., Xue, Y., Chen, Y. Gain scheduling design based on active disturbance rejection control for thermal power plant under full operating conditions (2019) Energy, 185, pp. 744-762. Cited 40 times. https://www.journals.elsevier.com/energy doi: 10.1016/j.energy.2019.07.077Conker, C., Baltacioglu, M.K. Fuzzy self-adaptive PID control technique for driving HHO dry cell systems (Open Access) (2020) International Journal of Hydrogen Energy, 45 (49), pp. 26059-26069. Cited 41 times. http://www.journals.elsevier.com/international-journal-of-hydrogen-energy/ doi: 10.1016/j.ijhydene.2020.01.136Rabaoui, B., Hamdi, H., Braiek, N.B., Rodrigues, M. A reconfigurable PID fault tolerant tracking controller design for LPV systems (Open Access) (2020) ISA Transactions, 98, pp. 173-185. Cited 12 times. http://www.elsevier.com/wps/find/journaldescription.cws_home/524244/description#description doi: 10.1016/j.isatra.2019.08.049Puchalski, B., Rutkowski, T.A., Duzinkiewicz, K. Fuzzy Multi-Regional Fractional PID controller for Pressurized Water nuclear Reactor (2020) ISA Transactions, 103, pp. 86-102. Cited 23 times. http://www.elsevier.com/wps/find/journaldescription.cws_home/524244/description#description doi: 10.1016/j.isatra.2020.04.003Nguyen, D.-T., Ho, J.-R., Tung, P.-C., Lin, C.-K. An improved real-time temperature control for pulsed laser cutting of non-oriented electrical steel (2021) Optics and Laser Technology, 136, art. no. 106783. Cited 10 times. https://www.journals.elsevier.com/optics-and-laser-technology doi: 10.1016/j.optlastec.2020.106783Xu, L., Wang, Z., Liu, Y., Xing, L. Energy allocation strategy based on fuzzy control considering optimal decision boundaries of standalone hybrid energy systems (2021) Journal of Cleaner Production, 279, art. no. 123810. 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