Classical and intelligent methods in model extraction and stabilization of a dual-axis reaction wheel pendulum: a comparative study

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dc.authoridTofigh Allahviranloo / 0000-0002-6673-3560en_US
dc.authorscopusidTofigh Allahviranloo / 8834494700en_US
dc.authorwosidTofigh Allahviranloo / V-4843-2019en_US
dc.contributor.authorTavakol Aghaei, Vahid
dc.contributor.authorAkbulut, Batuhan Ekin
dc.contributor.authorTan, Deniz
dc.contributor.authorAllahviranloo, Tofigh
dc.contributor.authorFernandez Gamiz, Unai
dc.contributor.authorNoeiaghdam, Samad
dc.contributor.authorBezci, Yüksel Ediz
dc.date.accessioned2022-11-08T13:26:53Z
dc.date.available2022-11-08T13:26:53Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümüen_US
dc.description.abstractControlling underactuated open-loop unstable systems is challenging. In this study, first, both nonlinear and linear models of a dual-axis reaction wheel pendulum (DA-RWP) are extracted by employing Lagrangian equations which are based on energy methods. Then to control the system and stabilize the pendulum's angle in the upright position, fuzzy logic based controllers for both x ? y directions are developed. To show the efficiency of the designed intelligent controller, comparisons are made with its classical optimal control counterparts. In our simulations, as proof of the reliability and robustness of the fuzzy controller, two scenarios including noise-disturbance-free and noisy-disturbed situations are considered. The comparisons made between the classical and fuzzy-based controllers reveal the superiority of the proposed fuzzy logic controller, in terms of time response. The simulation results of our experiments in terms of both mathematical modeling and control can be deployed as a baseline for robotics and aerospace studies as developing walking humanoid robots and satellite attitude systems, respectively.en_US
dc.identifier.citationBezci, Y. E., Tavakol Aghaei, V., Akbulut, B. E., Tan, D., Allahviranloo, T., Fernandez-Gamiz, U., & Noeiaghdam, S. (2022). Classical and intelligent methods in model extraction and stabilization of a dual-axis reaction wheel pendulum: A comparative study. Results in Engineering, 16 doi:10.1016/j.rineng.2022.100685en_US
dc.identifier.doi10.1016/j.rineng.2022.100685en_US
dc.identifier.scopus2-s2.0-85140057613en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1016/j.rineng.2022.100685
dc.identifier.urihttps://hdl.handle.net/20.500.12713/3271
dc.identifier.volume16en_US
dc.identifier.wosWOS:000877356900004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAllahviranloo, Tofigh
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofResults in Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDual-Axis Reaction Wheel Pendulumen_US
dc.subjectFuzzy Controlleren_US
dc.subjectFuzzy Logicen_US
dc.subjectIntelligent Controlen_US
dc.subjectState Feedbacken_US
dc.titleClassical and intelligent methods in model extraction and stabilization of a dual-axis reaction wheel pendulum: a comparative studyen_US
dc.typeArticleen_US

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