Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller

The Wind energy is more reliable and speedier growing, among the renewable energy resources, due to the world environment challenges as well as increasing demand for energy. The wind turbine system’s stability is cumbersome due to the uneven distribution of wind. Centrifugal and gravitational loads...
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Gespeichert in:

Autor*in:	Atif Iqbal [verfasserIn] Deng Ying [verfasserIn] Adeel Saleem [verfasserIn] Muhammad Aftab Hayat [verfasserIn] Kashif Mehmood [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Übergeordnetes Werk:	In: Energy Reports - Elsevier, 2016, 6(2020), Seite 423-427
Übergeordnetes Werk:	volume:6 ; year:2020 ; pages:423-427

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.egyr.2019.11.097

Katalog-ID:	DOAJ026956934

Internformat


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520			\|a The Wind energy is more reliable and speedier growing, among the renewable energy resources, due to the world environment challenges as well as increasing demand for energy. The wind turbine system’s stability is cumbersome due to the uneven distribution of wind. Centrifugal and gravitational loads on the blades of a wind turbine creates weariness, resultantly decreases the power output along with the life of the equipment. Therefore, the need for a pitch angle control that can reduce the loading effect in addition to provide maximal power output. This paper proposes the fuzzy based model-predictive controller of pitch angle control to minimize the loading effect on wind turbine by limiting power output and rotor speed to its rated value as well as to maximize the extracted power output as compared to other techniques. The fuzzy logic controller works very efficiently by encountering the system’s non-linearity while model predictive controller helps the system to become more stable and efficient. The superiority of prescribed controller is verified by comparing it with PI controller. The proposed model has been tested in MATLAB/Simulink using a 3MW wind turbine system. Keywords: Wind turbine, Pitch-angle control, PMC fuzzy controller, Power output
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700	0		\|a Muhammad Aftab Hayat \|e verfasserin \|4 aut
700	0		\|a Kashif Mehmood \|e verfasserin \|4 aut
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publishDate	2020
allfields	10.1016/j.egyr.2019.11.097 doi (DE-627)DOAJ026956934 (DE-599)DOAJ36cd6e7a434549e8995e812f7c05c1cb DE-627 ger DE-627 rakwb eng TK1-9971 Atif Iqbal verfasserin aut Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Wind energy is more reliable and speedier growing, among the renewable energy resources, due to the world environment challenges as well as increasing demand for energy. The wind turbine system’s stability is cumbersome due to the uneven distribution of wind. Centrifugal and gravitational loads on the blades of a wind turbine creates weariness, resultantly decreases the power output along with the life of the equipment. Therefore, the need for a pitch angle control that can reduce the loading effect in addition to provide maximal power output. This paper proposes the fuzzy based model-predictive controller of pitch angle control to minimize the loading effect on wind turbine by limiting power output and rotor speed to its rated value as well as to maximize the extracted power output as compared to other techniques. The fuzzy logic controller works very efficiently by encountering the system’s non-linearity while model predictive controller helps the system to become more stable and efficient. The superiority of prescribed controller is verified by comparing it with PI controller. The proposed model has been tested in MATLAB/Simulink using a 3MW wind turbine system. Keywords: Wind turbine, Pitch-angle control, PMC fuzzy controller, Power output Electrical engineering. Electronics. Nuclear engineering Deng Ying verfasserin aut Adeel Saleem verfasserin aut Muhammad Aftab Hayat verfasserin aut Kashif Mehmood verfasserin aut In Energy Reports Elsevier, 2016 6(2020), Seite 423-427 (DE-627)820689033 (DE-600)2814795-9 23524847 nnns volume:6 year:2020 pages:423-427 https://doi.org/10.1016/j.egyr.2019.11.097 kostenfrei https://doaj.org/article/36cd6e7a434549e8995e812f7c05c1cb kostenfrei http://www.sciencedirect.com/science/article/pii/S2352484719309874 kostenfrei https://doaj.org/toc/2352-4847 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 6 2020 423-427
spelling	10.1016/j.egyr.2019.11.097 doi (DE-627)DOAJ026956934 (DE-599)DOAJ36cd6e7a434549e8995e812f7c05c1cb DE-627 ger DE-627 rakwb eng TK1-9971 Atif Iqbal verfasserin aut Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Wind energy is more reliable and speedier growing, among the renewable energy resources, due to the world environment challenges as well as increasing demand for energy. The wind turbine system’s stability is cumbersome due to the uneven distribution of wind. Centrifugal and gravitational loads on the blades of a wind turbine creates weariness, resultantly decreases the power output along with the life of the equipment. Therefore, the need for a pitch angle control that can reduce the loading effect in addition to provide maximal power output. This paper proposes the fuzzy based model-predictive controller of pitch angle control to minimize the loading effect on wind turbine by limiting power output and rotor speed to its rated value as well as to maximize the extracted power output as compared to other techniques. The fuzzy logic controller works very efficiently by encountering the system’s non-linearity while model predictive controller helps the system to become more stable and efficient. The superiority of prescribed controller is verified by comparing it with PI controller. The proposed model has been tested in MATLAB/Simulink using a 3MW wind turbine system. Keywords: Wind turbine, Pitch-angle control, PMC fuzzy controller, Power output Electrical engineering. Electronics. Nuclear engineering Deng Ying verfasserin aut Adeel Saleem verfasserin aut Muhammad Aftab Hayat verfasserin aut Kashif Mehmood verfasserin aut In Energy Reports Elsevier, 2016 6(2020), Seite 423-427 (DE-627)820689033 (DE-600)2814795-9 23524847 nnns volume:6 year:2020 pages:423-427 https://doi.org/10.1016/j.egyr.2019.11.097 kostenfrei https://doaj.org/article/36cd6e7a434549e8995e812f7c05c1cb kostenfrei http://www.sciencedirect.com/science/article/pii/S2352484719309874 kostenfrei https://doaj.org/toc/2352-4847 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 6 2020 423-427
allfields_unstemmed	10.1016/j.egyr.2019.11.097 doi (DE-627)DOAJ026956934 (DE-599)DOAJ36cd6e7a434549e8995e812f7c05c1cb DE-627 ger DE-627 rakwb eng TK1-9971 Atif Iqbal verfasserin aut Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Wind energy is more reliable and speedier growing, among the renewable energy resources, due to the world environment challenges as well as increasing demand for energy. The wind turbine system’s stability is cumbersome due to the uneven distribution of wind. Centrifugal and gravitational loads on the blades of a wind turbine creates weariness, resultantly decreases the power output along with the life of the equipment. Therefore, the need for a pitch angle control that can reduce the loading effect in addition to provide maximal power output. This paper proposes the fuzzy based model-predictive controller of pitch angle control to minimize the loading effect on wind turbine by limiting power output and rotor speed to its rated value as well as to maximize the extracted power output as compared to other techniques. The fuzzy logic controller works very efficiently by encountering the system’s non-linearity while model predictive controller helps the system to become more stable and efficient. The superiority of prescribed controller is verified by comparing it with PI controller. The proposed model has been tested in MATLAB/Simulink using a 3MW wind turbine system. Keywords: Wind turbine, Pitch-angle control, PMC fuzzy controller, Power output Electrical engineering. Electronics. Nuclear engineering Deng Ying verfasserin aut Adeel Saleem verfasserin aut Muhammad Aftab Hayat verfasserin aut Kashif Mehmood verfasserin aut In Energy Reports Elsevier, 2016 6(2020), Seite 423-427 (DE-627)820689033 (DE-600)2814795-9 23524847 nnns volume:6 year:2020 pages:423-427 https://doi.org/10.1016/j.egyr.2019.11.097 kostenfrei https://doaj.org/article/36cd6e7a434549e8995e812f7c05c1cb kostenfrei http://www.sciencedirect.com/science/article/pii/S2352484719309874 kostenfrei https://doaj.org/toc/2352-4847 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 6 2020 423-427
allfieldsGer	10.1016/j.egyr.2019.11.097 doi (DE-627)DOAJ026956934 (DE-599)DOAJ36cd6e7a434549e8995e812f7c05c1cb DE-627 ger DE-627 rakwb eng TK1-9971 Atif Iqbal verfasserin aut Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Wind energy is more reliable and speedier growing, among the renewable energy resources, due to the world environment challenges as well as increasing demand for energy. The wind turbine system’s stability is cumbersome due to the uneven distribution of wind. Centrifugal and gravitational loads on the blades of a wind turbine creates weariness, resultantly decreases the power output along with the life of the equipment. Therefore, the need for a pitch angle control that can reduce the loading effect in addition to provide maximal power output. This paper proposes the fuzzy based model-predictive controller of pitch angle control to minimize the loading effect on wind turbine by limiting power output and rotor speed to its rated value as well as to maximize the extracted power output as compared to other techniques. The fuzzy logic controller works very efficiently by encountering the system’s non-linearity while model predictive controller helps the system to become more stable and efficient. The superiority of prescribed controller is verified by comparing it with PI controller. The proposed model has been tested in MATLAB/Simulink using a 3MW wind turbine system. Keywords: Wind turbine, Pitch-angle control, PMC fuzzy controller, Power output Electrical engineering. Electronics. Nuclear engineering Deng Ying verfasserin aut Adeel Saleem verfasserin aut Muhammad Aftab Hayat verfasserin aut Kashif Mehmood verfasserin aut In Energy Reports Elsevier, 2016 6(2020), Seite 423-427 (DE-627)820689033 (DE-600)2814795-9 23524847 nnns volume:6 year:2020 pages:423-427 https://doi.org/10.1016/j.egyr.2019.11.097 kostenfrei https://doaj.org/article/36cd6e7a434549e8995e812f7c05c1cb kostenfrei http://www.sciencedirect.com/science/article/pii/S2352484719309874 kostenfrei https://doaj.org/toc/2352-4847 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 6 2020 423-427
allfieldsSound	10.1016/j.egyr.2019.11.097 doi (DE-627)DOAJ026956934 (DE-599)DOAJ36cd6e7a434549e8995e812f7c05c1cb DE-627 ger DE-627 rakwb eng TK1-9971 Atif Iqbal verfasserin aut Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Wind energy is more reliable and speedier growing, among the renewable energy resources, due to the world environment challenges as well as increasing demand for energy. The wind turbine system’s stability is cumbersome due to the uneven distribution of wind. Centrifugal and gravitational loads on the blades of a wind turbine creates weariness, resultantly decreases the power output along with the life of the equipment. Therefore, the need for a pitch angle control that can reduce the loading effect in addition to provide maximal power output. This paper proposes the fuzzy based model-predictive controller of pitch angle control to minimize the loading effect on wind turbine by limiting power output and rotor speed to its rated value as well as to maximize the extracted power output as compared to other techniques. The fuzzy logic controller works very efficiently by encountering the system’s non-linearity while model predictive controller helps the system to become more stable and efficient. The superiority of prescribed controller is verified by comparing it with PI controller. The proposed model has been tested in MATLAB/Simulink using a 3MW wind turbine system. Keywords: Wind turbine, Pitch-angle control, PMC fuzzy controller, Power output Electrical engineering. Electronics. Nuclear engineering Deng Ying verfasserin aut Adeel Saleem verfasserin aut Muhammad Aftab Hayat verfasserin aut Kashif Mehmood verfasserin aut In Energy Reports Elsevier, 2016 6(2020), Seite 423-427 (DE-627)820689033 (DE-600)2814795-9 23524847 nnns volume:6 year:2020 pages:423-427 https://doi.org/10.1016/j.egyr.2019.11.097 kostenfrei https://doaj.org/article/36cd6e7a434549e8995e812f7c05c1cb kostenfrei http://www.sciencedirect.com/science/article/pii/S2352484719309874 kostenfrei https://doaj.org/toc/2352-4847 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 6 2020 423-427
language	English
source	In Energy Reports 6(2020), Seite 423-427 volume:6 year:2020 pages:423-427
sourceStr	In Energy Reports 6(2020), Seite 423-427 volume:6 year:2020 pages:423-427
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Electrical engineering. Electronics. Nuclear engineering
isfreeaccess_bool	true
container_title	Energy Reports
authorswithroles_txt_mv	Atif Iqbal @@aut@@ Deng Ying @@aut@@ Adeel Saleem @@aut@@ Muhammad Aftab Hayat @@aut@@ Kashif Mehmood @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	820689033
id	DOAJ026956934
language_de	englisch
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callnumber-first	T - Technology
author	Atif Iqbal
spellingShingle	Atif Iqbal misc TK1-9971 misc Electrical engineering. Electronics. Nuclear engineering Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller
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topic_title	TK1-9971 Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller
topic	misc TK1-9971 misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Electrical engineering. Electronics. Nuclear engineering
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title	Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller
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title_full	Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller
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author_browse	Atif Iqbal Deng Ying Adeel Saleem Muhammad Aftab Hayat Kashif Mehmood
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format_se	Elektronische Aufsätze
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doi_str_mv	10.1016/j.egyr.2019.11.097
author2-role	verfasserin
title_sort	efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller
callnumber	TK1-9971
title_auth	Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller
abstract	The Wind energy is more reliable and speedier growing, among the renewable energy resources, due to the world environment challenges as well as increasing demand for energy. The wind turbine system’s stability is cumbersome due to the uneven distribution of wind. Centrifugal and gravitational loads on the blades of a wind turbine creates weariness, resultantly decreases the power output along with the life of the equipment. Therefore, the need for a pitch angle control that can reduce the loading effect in addition to provide maximal power output. This paper proposes the fuzzy based model-predictive controller of pitch angle control to minimize the loading effect on wind turbine by limiting power output and rotor speed to its rated value as well as to maximize the extracted power output as compared to other techniques. The fuzzy logic controller works very efficiently by encountering the system’s non-linearity while model predictive controller helps the system to become more stable and efficient. The superiority of prescribed controller is verified by comparing it with PI controller. The proposed model has been tested in MATLAB/Simulink using a 3MW wind turbine system. Keywords: Wind turbine, Pitch-angle control, PMC fuzzy controller, Power output
abstractGer	The Wind energy is more reliable and speedier growing, among the renewable energy resources, due to the world environment challenges as well as increasing demand for energy. The wind turbine system’s stability is cumbersome due to the uneven distribution of wind. Centrifugal and gravitational loads on the blades of a wind turbine creates weariness, resultantly decreases the power output along with the life of the equipment. Therefore, the need for a pitch angle control that can reduce the loading effect in addition to provide maximal power output. This paper proposes the fuzzy based model-predictive controller of pitch angle control to minimize the loading effect on wind turbine by limiting power output and rotor speed to its rated value as well as to maximize the extracted power output as compared to other techniques. The fuzzy logic controller works very efficiently by encountering the system’s non-linearity while model predictive controller helps the system to become more stable and efficient. The superiority of prescribed controller is verified by comparing it with PI controller. The proposed model has been tested in MATLAB/Simulink using a 3MW wind turbine system. Keywords: Wind turbine, Pitch-angle control, PMC fuzzy controller, Power output
abstract_unstemmed	The Wind energy is more reliable and speedier growing, among the renewable energy resources, due to the world environment challenges as well as increasing demand for energy. The wind turbine system’s stability is cumbersome due to the uneven distribution of wind. Centrifugal and gravitational loads on the blades of a wind turbine creates weariness, resultantly decreases the power output along with the life of the equipment. Therefore, the need for a pitch angle control that can reduce the loading effect in addition to provide maximal power output. This paper proposes the fuzzy based model-predictive controller of pitch angle control to minimize the loading effect on wind turbine by limiting power output and rotor speed to its rated value as well as to maximize the extracted power output as compared to other techniques. The fuzzy logic controller works very efficiently by encountering the system’s non-linearity while model predictive controller helps the system to become more stable and efficient. The superiority of prescribed controller is verified by comparing it with PI controller. The proposed model has been tested in MATLAB/Simulink using a 3MW wind turbine system. Keywords: Wind turbine, Pitch-angle control, PMC fuzzy controller, Power output
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title_short	Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller
url	https://doi.org/10.1016/j.egyr.2019.11.097 https://doaj.org/article/36cd6e7a434549e8995e812f7c05c1cb http://www.sciencedirect.com/science/article/pii/S2352484719309874 https://doaj.org/toc/2352-4847
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doi_str	10.1016/j.egyr.2019.11.097
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up_date	2024-07-03T23:46:34.117Z
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Efficacious pitch angle control of variable-speed wind turbine using fuzzy based predictive controller

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