Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System

Efficient speed controllers for dynamic driving tasks in autonomous vehicles are crucial for ensuring safety and reliability. This study proposes a novel approach for designing a fractional order proportional-integral-derivative (FOPID) controller that utilizes a modified elite opposition-based arti...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Abualigah, Laith (author)
مؤلفون آخرون: Ekinci, Serdar (author), Izci, Davut (author), Abu Zitar, Raed (author)
منشور في: 2023
الموضوعات:
الوصول للمادة أونلاين:https://depot.sorbonne.ae/handle/20.500.12458/1429
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author Abualigah, Laith
author2 Ekinci, Serdar
Izci, Davut
Abu Zitar, Raed
author2_role author
author
author
author_facet Abualigah, Laith
Ekinci, Serdar
Izci, Davut
Abu Zitar, Raed
author_role author
dc.creator.none.fl_str_mv Abualigah, Laith
Ekinci, Serdar
Izci, Davut
Abu Zitar, Raed
dc.date.none.fl_str_mv 2023-07-28T06:24:56Z
2023-07-28T06:24:56Z
2023
dc.identifier.none.fl_str_mv https://depot.sorbonne.ae/handle/20.500.12458/1429
10.32604/iasc.2023.040291
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv Intelligent Automation & Soft Computing
dc.subject.none.fl_str_mv Cruise control system
FOPID controller
artificial hummingbird algorithm
elite opposition-based learning
dc.title.none.fl_str_mv Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
dc.type.none.fl_str_mv Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article
description Efficient speed controllers for dynamic driving tasks in autonomous vehicles are crucial for ensuring safety and reliability. This study proposes a novel approach for designing a fractional order proportional-integral-derivative (FOPID) controller that utilizes a modified elite opposition-based artificial hummingbird algorithm (m-AHA) for optimal parameter tuning. Our approach outperforms existing optimization techniques on benchmark functions, and we demonstrate its effectiveness in controlling cruise control systems with increased flexibility and precision. Our study contributes to the advancement of autonomous vehicle technology by introducing a novel and efficient method for FOPID controller design that can enhance the driving experience while ensuring safety and reliability. We highlight the significance of our findings by demonstrating how our approach can improve the performance, safety, and reliability of autonomous vehicles. This study’s contributions are particularly relevant in the context of the growing demand for autonomous vehicles and the need for advanced control techniques to ensure their safe operation. Our research provides a promising avenue for further research and development in this area.
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identifier_str_mv 10.32604/iasc.2023.040291
language_invalid_str_mv en
network_acronym_str sorbonner
network_name_str Sorbonne University Abu Dhabi repository
oai_identifier_str oai:depot.sorbonne.ae:20.500.12458/1429
publishDate 2023
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control SystemAbualigah, LaithEkinci, SerdarIzci, DavutAbu Zitar, RaedCruise control systemFOPID controllerartificial hummingbird algorithmelite opposition-based learningEfficient speed controllers for dynamic driving tasks in autonomous vehicles are crucial for ensuring safety and reliability. This study proposes a novel approach for designing a fractional order proportional-integral-derivative (FOPID) controller that utilizes a modified elite opposition-based artificial hummingbird algorithm (m-AHA) for optimal parameter tuning. Our approach outperforms existing optimization techniques on benchmark functions, and we demonstrate its effectiveness in controlling cruise control systems with increased flexibility and precision. Our study contributes to the advancement of autonomous vehicle technology by introducing a novel and efficient method for FOPID controller design that can enhance the driving experience while ensuring safety and reliability. We highlight the significance of our findings by demonstrating how our approach can improve the performance, safety, and reliability of autonomous vehicles. This study’s contributions are particularly relevant in the context of the growing demand for autonomous vehicles and the need for advanced control techniques to ensure their safe operation. Our research provides a promising avenue for further research and development in this area.2023-07-28T06:24:56Z2023-07-28T06:24:56Z2023Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articlehttps://depot.sorbonne.ae/handle/20.500.12458/142910.32604/iasc.2023.040291enIntelligent Automation & Soft Computingoai:depot.sorbonne.ae:20.500.12458/14292023-07-28T06:24:57Z
spellingShingle Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
Abualigah, Laith
Cruise control system
FOPID controller
artificial hummingbird algorithm
elite opposition-based learning
title Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
title_full Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
title_fullStr Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
title_full_unstemmed Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
title_short Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
title_sort Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
topic Cruise control system
FOPID controller
artificial hummingbird algorithm
elite opposition-based learning
url https://depot.sorbonne.ae/handle/20.500.12458/1429