دورية أكاديمية
أعرض في EDS

Adaptive Neural Network Control of Zero-Speed Vessel Fin Stabilizer Based on Command Filter

التفاصيل البيبلوغرافية
العنوان: Adaptive Neural Network Control of Zero-Speed Vessel Fin Stabilizer Based on Command Filter
المؤلفون: Ziteng Sun, Chao Chen, Guibing Zhu
المصدر: Applied Sciences, Vol 12, Iss 2, p 754 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: command filtering, input saturation, adaptive control, nonlinear disturbance observer, RBF neural network, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: This paper proposes a zero-speed vessel fin stabilizer adaptive neural network control strategy based on a command filter for the problem of large-angle rolling motion caused by adverse sea conditions when a vessel is at low speed down to zero. In order to avoid the adverse effects of the high-frequency part of the marine environment on the vessel rolling control system, a command filter is introduced in the design of the controller and a command filter backstepping control method is designed. An auxiliary dynamic system (ADS) is constructed to correct the feedback error caused by input saturation. Considering that the system has unknown internal parameters and unmodeled dynamics, and is affected by unknown disturbances from the outside, the neural network technology and nonlinear disturbance observer are fused in the proposed design, which not only combines the advantages of the two but also overcomes the limitations of the single technique itself. Through Lyapunov theoretical analysis, the stability of the control system is proved. Finally, the simulation results also verify the effectiveness of the control method.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/12/2/754; https://doaj.org/toc/2076-3417
DOI: 10.3390/app12020754
URL الوصول: https://doaj.org/article/a005331dbd82428f911071f38539a1bb
رقم الأكسشن: edsdoj.005331dbd82428f911071f38539a1bb
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app12020754