Design and Application of an Artificial Neural Network Controller Imitating a Multiple Model Predictive Controller for Stroke Control of Hydrostatic Transmission

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dc.authorid0000-0002-6416-0973
dc.contributor.authorUlker, Hakan
dc.date.accessioned2026-02-08T15:15:57Z
dc.date.available2026-02-08T15:15:57Z
dc.date.issued2025
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractThe stroke control of a hydrostatic transmission (HST) is crucial for improving the energy efficiency and power variability of heavy-duty vehicles, including agricultural, construction, mining, and forestry equipment. This study introduces a new control strategy: an Artificial Neural Network (ANN) controller that imitates a Multiple Model Predictive Controller (MPC). The goal is to compare their performance in controlling the HST's stroke. The proposed controller is designed to track complex stroke reference trajectories for both primary and secondary regulations under realistic disturbances, such as engine and load torques, which are influenced by soil and road conditions for an HST system in line with a nonlinear and time-varying mathematical model. Processor-in-the-Loop simulations suggest that the ANN controller holds several advantages over the Multiple MPC and classical control strategies. These benefits include its suitability for multi-input-multi-output systems, its insensitivity to external stochastic disturbances (like white noise), and its robustness against modeling errors and uncertainties, making it a promising option for real-time HST implementation and better than the Multiple MPC scheme in terms of simplicity and computational cost-effectiveness.
dc.identifier.doi10.3390/machines13090778
dc.identifier.issn2075-1702
dc.identifier.issue9
dc.identifier.scopus2-s2.0-105017465196
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/machines13090778
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6060
dc.identifier.volume13
dc.identifier.wosWOS:001580425900001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofMachines
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzWOS_KA_20260207
dc.subjecthydrostatic transmission
dc.subjectheavy-duty vehicles
dc.subjecthydrostatic transmission stroke control
dc.subjectprimary and secondary regulation
dc.subjectANN controller
dc.subjectdisturbance rejection
dc.titleDesign and Application of an Artificial Neural Network Controller Imitating a Multiple Model Predictive Controller for Stroke Control of Hydrostatic Transmission
dc.typeArticle

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