A comparison of fuzzy logic and PID controller for a single-axis solar tracking system

Abstract Proportional integral derivative controllers are widely used in industrial processes because of their simplicity and effectiveness for linear and nonlinear systems. The fuzzy controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic sy...
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Gespeichert in:

Autor*in:	Kiyak, Emre [verfasserIn] Gol, Gokhan

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Solar tracking system Fuzzy controller PID controller Energy efficiency

Anmerkung:	© Kıyak and Gol. 2016

Übergeordnetes Werk:	Enthalten in: Renewables: Wind, Water, and Solar - Berlin : Springer, 2015, 3(2016), 1 vom: 25. Feb.
Übergeordnetes Werk:	volume:3 ; year:2016 ; number:1 ; day:25 ; month:02

Links:	Volltext

DOI / URN:	10.1186/s40807-016-0023-7

Katalog-ID:	SPR037835955

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spelling	10.1186/s40807-016-0023-7 doi (DE-627)SPR037835955 (SPR)s40807-016-0023-7-e DE-627 ger DE-627 rakwb eng Kiyak, Emre verfasserin aut A comparison of fuzzy logic and PID controller for a single-axis solar tracking system 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kıyak and Gol. 2016 Abstract Proportional integral derivative controllers are widely used in industrial processes because of their simplicity and effectiveness for linear and nonlinear systems. The fuzzy controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the fuzzy controller for a nonlinear system allows for a reduction of uncertain effects in the system control. In this study, a proportional integral derivative controller and a fuzzy logic controller are designed and compared for a single-axis solar tracking system using an Atmel microcontroller. According to the angle of solar energy, a solar panel is oriented to the side where light intensity is greatest by being designed for the related supervisory controllers. Thus, the aim is to increase the energy obtained from solar panels by providing the specular reflection of the sun’s rays to a solar panel. At the same time, a maximum efficient processing system has been determined by taking account of two controllers for the designed system. Solar tracking system (dpeaa)DE-He213 Fuzzy controller (dpeaa)DE-He213 PID controller (dpeaa)DE-He213 Energy efficiency (dpeaa)DE-He213 Gol, Gokhan aut Enthalten in Renewables: Wind, Water, and Solar Berlin : Springer, 2015 3(2016), 1 vom: 25. Feb. (DE-627)826102883 (DE-600)2821569-2 2198-994X nnns volume:3 year:2016 number:1 day:25 month:02 https://dx.doi.org/10.1186/s40807-016-0023-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2016 1 25 02
allfields_unstemmed	10.1186/s40807-016-0023-7 doi (DE-627)SPR037835955 (SPR)s40807-016-0023-7-e DE-627 ger DE-627 rakwb eng Kiyak, Emre verfasserin aut A comparison of fuzzy logic and PID controller for a single-axis solar tracking system 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kıyak and Gol. 2016 Abstract Proportional integral derivative controllers are widely used in industrial processes because of their simplicity and effectiveness for linear and nonlinear systems. The fuzzy controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the fuzzy controller for a nonlinear system allows for a reduction of uncertain effects in the system control. In this study, a proportional integral derivative controller and a fuzzy logic controller are designed and compared for a single-axis solar tracking system using an Atmel microcontroller. According to the angle of solar energy, a solar panel is oriented to the side where light intensity is greatest by being designed for the related supervisory controllers. Thus, the aim is to increase the energy obtained from solar panels by providing the specular reflection of the sun’s rays to a solar panel. At the same time, a maximum efficient processing system has been determined by taking account of two controllers for the designed system. Solar tracking system (dpeaa)DE-He213 Fuzzy controller (dpeaa)DE-He213 PID controller (dpeaa)DE-He213 Energy efficiency (dpeaa)DE-He213 Gol, Gokhan aut Enthalten in Renewables: Wind, Water, and Solar Berlin : Springer, 2015 3(2016), 1 vom: 25. Feb. (DE-627)826102883 (DE-600)2821569-2 2198-994X nnns volume:3 year:2016 number:1 day:25 month:02 https://dx.doi.org/10.1186/s40807-016-0023-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2016 1 25 02
allfieldsGer	10.1186/s40807-016-0023-7 doi (DE-627)SPR037835955 (SPR)s40807-016-0023-7-e DE-627 ger DE-627 rakwb eng Kiyak, Emre verfasserin aut A comparison of fuzzy logic and PID controller for a single-axis solar tracking system 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kıyak and Gol. 2016 Abstract Proportional integral derivative controllers are widely used in industrial processes because of their simplicity and effectiveness for linear and nonlinear systems. The fuzzy controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the fuzzy controller for a nonlinear system allows for a reduction of uncertain effects in the system control. In this study, a proportional integral derivative controller and a fuzzy logic controller are designed and compared for a single-axis solar tracking system using an Atmel microcontroller. According to the angle of solar energy, a solar panel is oriented to the side where light intensity is greatest by being designed for the related supervisory controllers. Thus, the aim is to increase the energy obtained from solar panels by providing the specular reflection of the sun’s rays to a solar panel. At the same time, a maximum efficient processing system has been determined by taking account of two controllers for the designed system. Solar tracking system (dpeaa)DE-He213 Fuzzy controller (dpeaa)DE-He213 PID controller (dpeaa)DE-He213 Energy efficiency (dpeaa)DE-He213 Gol, Gokhan aut Enthalten in Renewables: Wind, Water, and Solar Berlin : Springer, 2015 3(2016), 1 vom: 25. Feb. (DE-627)826102883 (DE-600)2821569-2 2198-994X nnns volume:3 year:2016 number:1 day:25 month:02 https://dx.doi.org/10.1186/s40807-016-0023-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2016 1 25 02
allfieldsSound	10.1186/s40807-016-0023-7 doi (DE-627)SPR037835955 (SPR)s40807-016-0023-7-e DE-627 ger DE-627 rakwb eng Kiyak, Emre verfasserin aut A comparison of fuzzy logic and PID controller for a single-axis solar tracking system 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kıyak and Gol. 2016 Abstract Proportional integral derivative controllers are widely used in industrial processes because of their simplicity and effectiveness for linear and nonlinear systems. The fuzzy controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the fuzzy controller for a nonlinear system allows for a reduction of uncertain effects in the system control. In this study, a proportional integral derivative controller and a fuzzy logic controller are designed and compared for a single-axis solar tracking system using an Atmel microcontroller. According to the angle of solar energy, a solar panel is oriented to the side where light intensity is greatest by being designed for the related supervisory controllers. Thus, the aim is to increase the energy obtained from solar panels by providing the specular reflection of the sun’s rays to a solar panel. At the same time, a maximum efficient processing system has been determined by taking account of two controllers for the designed system. Solar tracking system (dpeaa)DE-He213 Fuzzy controller (dpeaa)DE-He213 PID controller (dpeaa)DE-He213 Energy efficiency (dpeaa)DE-He213 Gol, Gokhan aut Enthalten in Renewables: Wind, Water, and Solar Berlin : Springer, 2015 3(2016), 1 vom: 25. Feb. (DE-627)826102883 (DE-600)2821569-2 2198-994X nnns volume:3 year:2016 number:1 day:25 month:02 https://dx.doi.org/10.1186/s40807-016-0023-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2016 1 25 02
language	English
source	Enthalten in Renewables: Wind, Water, and Solar 3(2016), 1 vom: 25. Feb. volume:3 year:2016 number:1 day:25 month:02
sourceStr	Enthalten in Renewables: Wind, Water, and Solar 3(2016), 1 vom: 25. Feb. volume:3 year:2016 number:1 day:25 month:02
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Solar tracking system Fuzzy controller PID controller Energy efficiency
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container_title	Renewables: Wind, Water, and Solar
authorswithroles_txt_mv	Kiyak, Emre @@aut@@ Gol, Gokhan @@aut@@
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author	Kiyak, Emre
spellingShingle	Kiyak, Emre misc Solar tracking system misc Fuzzy controller misc PID controller misc Energy efficiency A comparison of fuzzy logic and PID controller for a single-axis solar tracking system
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topic_title	A comparison of fuzzy logic and PID controller for a single-axis solar tracking system Solar tracking system (dpeaa)DE-He213 Fuzzy controller (dpeaa)DE-He213 PID controller (dpeaa)DE-He213 Energy efficiency (dpeaa)DE-He213
topic	misc Solar tracking system misc Fuzzy controller misc PID controller misc Energy efficiency
topic_unstemmed	misc Solar tracking system misc Fuzzy controller misc PID controller misc Energy efficiency
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title	A comparison of fuzzy logic and PID controller for a single-axis solar tracking system
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title_full	A comparison of fuzzy logic and PID controller for a single-axis solar tracking system
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title_sort	comparison of fuzzy logic and pid controller for a single-axis solar tracking system
title_auth	A comparison of fuzzy logic and PID controller for a single-axis solar tracking system
abstract	Abstract Proportional integral derivative controllers are widely used in industrial processes because of their simplicity and effectiveness for linear and nonlinear systems. The fuzzy controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the fuzzy controller for a nonlinear system allows for a reduction of uncertain effects in the system control. In this study, a proportional integral derivative controller and a fuzzy logic controller are designed and compared for a single-axis solar tracking system using an Atmel microcontroller. According to the angle of solar energy, a solar panel is oriented to the side where light intensity is greatest by being designed for the related supervisory controllers. Thus, the aim is to increase the energy obtained from solar panels by providing the specular reflection of the sun’s rays to a solar panel. At the same time, a maximum efficient processing system has been determined by taking account of two controllers for the designed system. © Kıyak and Gol. 2016
abstractGer	Abstract Proportional integral derivative controllers are widely used in industrial processes because of their simplicity and effectiveness for linear and nonlinear systems. The fuzzy controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the fuzzy controller for a nonlinear system allows for a reduction of uncertain effects in the system control. In this study, a proportional integral derivative controller and a fuzzy logic controller are designed and compared for a single-axis solar tracking system using an Atmel microcontroller. According to the angle of solar energy, a solar panel is oriented to the side where light intensity is greatest by being designed for the related supervisory controllers. Thus, the aim is to increase the energy obtained from solar panels by providing the specular reflection of the sun’s rays to a solar panel. At the same time, a maximum efficient processing system has been determined by taking account of two controllers for the designed system. © Kıyak and Gol. 2016
abstract_unstemmed	Abstract Proportional integral derivative controllers are widely used in industrial processes because of their simplicity and effectiveness for linear and nonlinear systems. The fuzzy controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the fuzzy controller for a nonlinear system allows for a reduction of uncertain effects in the system control. In this study, a proportional integral derivative controller and a fuzzy logic controller are designed and compared for a single-axis solar tracking system using an Atmel microcontroller. According to the angle of solar energy, a solar panel is oriented to the side where light intensity is greatest by being designed for the related supervisory controllers. Thus, the aim is to increase the energy obtained from solar panels by providing the specular reflection of the sun’s rays to a solar panel. At the same time, a maximum efficient processing system has been determined by taking account of two controllers for the designed system. © Kıyak and Gol. 2016
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title_short	A comparison of fuzzy logic and PID controller for a single-axis solar tracking system
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