{"title":"A type-3 fuzzy vibration controller based on active rotary inertia driver systems","authors":"Chunwei Zhang , Changdong Du , Rathinasamy Sakthivel , Ardashir Mohammadzadeh","doi":"10.1016/j.jsv.2025.119072","DOIUrl":null,"url":null,"abstract":"<div><div>Active rotary inertia driver (ARID) plays a vital role in controlling the rotational inertia of a system, and various ranges of industrial applications like robotics, offshore wind turbines, aerospace, and automotive industries. By actively tuning the rotational inertia, the driver can improve stability, dynamic response, and energy efficiency. Also, the robustness can be improved by adjusting the rotational inertia in real time to counteract natural external disturbances or changes in operating conditions. However, the ARID control problem can be complex due to various factors, including the need for online adjustments, nonlinear dynamics of the system, uncertainties in the operating conditions, and interactions with other components in the system. In this paper, a nonlinear controller based on type-3 (T3) fuzzy logic systems (FLSs) is developed. The suggested controller identifies the closed-loop dynamics automatically and does not depend on the ARID predefined physical/mathematical equations. A T3-FLS is used to estimate the control input nonlinearities, and another T3-FLS is used to estimate the dynamic nonlinearities. The both T3-FLSs are online tuned by the Lyapunov adaptation rules. Also, the impact of other disturbances and estimation errors of T3-FLSs are analyzed, and a parallel controller as a compensator is designed to guarantee stability. The designed controller is examined by an experimental study and various simulations. The results of energy and time–frequency analysis, show that the proposed method has a better control effect on the vibration control. In addition, the proposed method also improves the stability and robustness in the actual conditions (see the implementation video at <span><span>https://youtube.com/shorts/kR_97RuHotM?si=qN2EyUEW20Xu2CKy</span><svg><path></path></svg></span>).</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"607 ","pages":"Article 119072"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sound and Vibration","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022460X25001464","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Active rotary inertia driver (ARID) plays a vital role in controlling the rotational inertia of a system, and various ranges of industrial applications like robotics, offshore wind turbines, aerospace, and automotive industries. By actively tuning the rotational inertia, the driver can improve stability, dynamic response, and energy efficiency. Also, the robustness can be improved by adjusting the rotational inertia in real time to counteract natural external disturbances or changes in operating conditions. However, the ARID control problem can be complex due to various factors, including the need for online adjustments, nonlinear dynamics of the system, uncertainties in the operating conditions, and interactions with other components in the system. In this paper, a nonlinear controller based on type-3 (T3) fuzzy logic systems (FLSs) is developed. The suggested controller identifies the closed-loop dynamics automatically and does not depend on the ARID predefined physical/mathematical equations. A T3-FLS is used to estimate the control input nonlinearities, and another T3-FLS is used to estimate the dynamic nonlinearities. The both T3-FLSs are online tuned by the Lyapunov adaptation rules. Also, the impact of other disturbances and estimation errors of T3-FLSs are analyzed, and a parallel controller as a compensator is designed to guarantee stability. The designed controller is examined by an experimental study and various simulations. The results of energy and time–frequency analysis, show that the proposed method has a better control effect on the vibration control. In addition, the proposed method also improves the stability and robustness in the actual conditions (see the implementation video at https://youtube.com/shorts/kR_97RuHotM?si=qN2EyUEW20Xu2CKy).
期刊介绍：
The Journal of Sound and Vibration (JSV) is an independent journal devoted to the prompt publication of original papers, both theoretical and experimental, that provide new information on any aspect of sound or vibration. There is an emphasis on fundamental work that has potential for practical application.
JSV was founded and operates on the premise that the subject of sound and vibration requires a journal that publishes papers of a high technical standard across the various subdisciplines, thus facilitating awareness of techniques and discoveries in one area that may be applicable in others.
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