The pseudo-code of the WOA-LSTM-PID model.

<div><p>Organic Light-Emitting Diode (OLED) is a high-performance display technology. Its performance and lifespan are extremely sensitive to the operating temperature. The existing temperature control methods, such as the traditional Proportional-Integral-Derivative (PID) controller, ar...

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Main Author: Dayu Zhang (710629) (author)
Other Authors: Cong Guan (2133640) (author)
Published: 2025
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_version_ 1852018295027269632
author Dayu Zhang (710629)
author2 Cong Guan (2133640)
author2_role author
author_facet Dayu Zhang (710629)
Cong Guan (2133640)
author_role author
dc.creator.none.fl_str_mv Dayu Zhang (710629)
Cong Guan (2133640)
dc.date.none.fl_str_mv 2025-07-22T17:27:07Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0327851.g006
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/The_pseudo-code_of_the_WOA-LSTM-PID_model_/29619843
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biochemistry
Molecular Biology
Neuroscience
Infectious Diseases
Biological Sciences not elsewhere classified
whale optimization algorithm
integrating whale algorithm
global optimization ability
78 &# 176
3 &# 176
23 &# 176
timing analysis ability
combining experimental data
2 &# 176
performance display technology
controller effectively addresses
research results show
5 &# 176
precise temperature control
significant performance improvement
oled temperature control
traditional pid controller
improvement analysis
experimental results
temperature control
research lies
precision control
2 seconds
traditional proportional
traditional pid
proposed controller
pid controller
operating temperature
oled temperature
varying characteristics
thermodynamic model
term memory
strong universality
state error
significantly improve
significant nonlinear
long short
extremely sensitive
emitting diode
also verifies
9 seconds
5 seconds
dc.title.none.fl_str_mv The pseudo-code of the WOA-LSTM-PID model.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <div><p>Organic Light-Emitting Diode (OLED) is a high-performance display technology. Its performance and lifespan are extremely sensitive to the operating temperature. The existing temperature control methods, such as the traditional Proportional-Integral-Derivative (PID) controller, are difficult to meet the requirements of OLED for precise temperature control, especially in systems with significant nonlinear and time-varying characteristics. To solve this problem, the study proposes an improved PID controller based on the Long Short-Term Memory (LSTM) optimized by the Whale Optimization Algorithm (WOA). This method combines the global optimization ability of WOA and the timing analysis ability of LSTM. By optimizing the parameters of the PID controller, the accuracy and adaptability of temperature control are improved. Meanwhile, the effectiveness of the proposed controller is verified by constructing a thermodynamic model and combining experimental data. In the experimental results, compared with the traditional PID controller, the overshoot of the WOA-LSTM-PID controller was reduced from 8.5°C to 0.3°C, the steady-state error was reduced from 1.2°C to 0.2°C, the regulation time was shortened from 42.5 seconds to 20.2 seconds, and the response time was shortened from 70.5 seconds to 21.9 seconds. Furthermore, the root mean square error has been reduced from 5.23°C of the traditional PID to 0.78°C. The research results show that the WOA-LSTM-PID controller can significantly improve the accuracy and stability of OLED temperature control, while reducing the regulation time and response time. This controller effectively addresses the nonlinear and time-varying characteristics in OLED temperature control by optimizing the PID parameters. The innovation of the research lies in the combination of the WOA and the LSTM network. By optimizing the parameters of the PID controller, high-precision control of the OLED temperature has been achieved. This study not only proposes a new theoretical optimization method but also verifies its significant performance improvement in experiments. Furthermore, this method has strong universality and can be applied to other temperature-sensitive systems.</p></div>
eu_rights_str_mv openAccess
id Manara_7ea0eebea33fbb310d0f592da863d789
identifier_str_mv 10.1371/journal.pone.0327851.g006
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/29619843
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling The pseudo-code of the WOA-LSTM-PID model.Dayu Zhang (710629)Cong Guan (2133640)BiochemistryMolecular BiologyNeuroscienceInfectious DiseasesBiological Sciences not elsewhere classifiedwhale optimization algorithmintegrating whale algorithmglobal optimization ability78 &# 1763 &# 17623 &# 176timing analysis abilitycombining experimental data2 &# 176performance display technologycontroller effectively addressesresearch results show5 &# 176precise temperature controlsignificant performance improvementoled temperature controltraditional pid controllerimprovement analysisexperimental resultstemperature controlresearch liesprecision control2 secondstraditional proportionaltraditional pidproposed controllerpid controlleroperating temperatureoled temperaturevarying characteristicsthermodynamic modelterm memorystrong universalitystate errorsignificantly improvesignificant nonlinearlong shortextremely sensitiveemitting diodealso verifies9 seconds5 seconds<div><p>Organic Light-Emitting Diode (OLED) is a high-performance display technology. Its performance and lifespan are extremely sensitive to the operating temperature. The existing temperature control methods, such as the traditional Proportional-Integral-Derivative (PID) controller, are difficult to meet the requirements of OLED for precise temperature control, especially in systems with significant nonlinear and time-varying characteristics. To solve this problem, the study proposes an improved PID controller based on the Long Short-Term Memory (LSTM) optimized by the Whale Optimization Algorithm (WOA). This method combines the global optimization ability of WOA and the timing analysis ability of LSTM. By optimizing the parameters of the PID controller, the accuracy and adaptability of temperature control are improved. Meanwhile, the effectiveness of the proposed controller is verified by constructing a thermodynamic model and combining experimental data. In the experimental results, compared with the traditional PID controller, the overshoot of the WOA-LSTM-PID controller was reduced from 8.5°C to 0.3°C, the steady-state error was reduced from 1.2°C to 0.2°C, the regulation time was shortened from 42.5 seconds to 20.2 seconds, and the response time was shortened from 70.5 seconds to 21.9 seconds. Furthermore, the root mean square error has been reduced from 5.23°C of the traditional PID to 0.78°C. The research results show that the WOA-LSTM-PID controller can significantly improve the accuracy and stability of OLED temperature control, while reducing the regulation time and response time. This controller effectively addresses the nonlinear and time-varying characteristics in OLED temperature control by optimizing the PID parameters. The innovation of the research lies in the combination of the WOA and the LSTM network. By optimizing the parameters of the PID controller, high-precision control of the OLED temperature has been achieved. This study not only proposes a new theoretical optimization method but also verifies its significant performance improvement in experiments. Furthermore, this method has strong universality and can be applied to other temperature-sensitive systems.</p></div>2025-07-22T17:27:07ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0327851.g006https://figshare.com/articles/figure/The_pseudo-code_of_the_WOA-LSTM-PID_model_/29619843CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/296198432025-07-22T17:27:07Z
spellingShingle The pseudo-code of the WOA-LSTM-PID model.
Dayu Zhang (710629)
Biochemistry
Molecular Biology
Neuroscience
Infectious Diseases
Biological Sciences not elsewhere classified
whale optimization algorithm
integrating whale algorithm
global optimization ability
78 &# 176
3 &# 176
23 &# 176
timing analysis ability
combining experimental data
2 &# 176
performance display technology
controller effectively addresses
research results show
5 &# 176
precise temperature control
significant performance improvement
oled temperature control
traditional pid controller
improvement analysis
experimental results
temperature control
research lies
precision control
2 seconds
traditional proportional
traditional pid
proposed controller
pid controller
operating temperature
oled temperature
varying characteristics
thermodynamic model
term memory
strong universality
state error
significantly improve
significant nonlinear
long short
extremely sensitive
emitting diode
also verifies
9 seconds
5 seconds
status_str publishedVersion
title The pseudo-code of the WOA-LSTM-PID model.
title_full The pseudo-code of the WOA-LSTM-PID model.
title_fullStr The pseudo-code of the WOA-LSTM-PID model.
title_full_unstemmed The pseudo-code of the WOA-LSTM-PID model.
title_short The pseudo-code of the WOA-LSTM-PID model.
title_sort The pseudo-code of the WOA-LSTM-PID model.
topic Biochemistry
Molecular Biology
Neuroscience
Infectious Diseases
Biological Sciences not elsewhere classified
whale optimization algorithm
integrating whale algorithm
global optimization ability
78 &# 176
3 &# 176
23 &# 176
timing analysis ability
combining experimental data
2 &# 176
performance display technology
controller effectively addresses
research results show
5 &# 176
precise temperature control
significant performance improvement
oled temperature control
traditional pid controller
improvement analysis
experimental results
temperature control
research lies
precision control
2 seconds
traditional proportional
traditional pid
proposed controller
pid controller
operating temperature
oled temperature
varying characteristics
thermodynamic model
term memory
strong universality
state error
significantly improve
significant nonlinear
long short
extremely sensitive
emitting diode
also verifies
9 seconds
5 seconds