{"title":"Vibration Suppression and Adaptive Fault-Tolerant Control for Three-Dimensional Flexible Rotating Manipulator With Input Signal Constraints","authors":"Jiacheng Wang, Qingzhen Zhang, Jinkun Liu, Xing Chen, Cenbo Xue","doi":"10.1002/acs.3964","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Based on a three-dimensional flexible, rotating manipulator, this paper is dedicated to the issue of vibration suppression and angle planning subject to actuator failures and input signal constraints. Considering that a flexible link belongs to a distributed parameter system, the motion model is obtained by Hamilton's principle and described by partial differential equations (PDEs). A novel fault-tolerant control law is proposed to eliminate the elastic deflection and vibration of the flexible link and to follow the desired angle of the rotating base and the manipulator with the appearance of actuator failures. The adaptive operator based on projection mapping is adopted to estimate the loss of the actuator. In addition, the hyperbolic tangent function is employed to constrain the input signal so that it is within an adjustable interval. The Lyapunov's method and LaSalle invariance principle are applied to prove the stability and convergence of the closed-loop system. The simulation results are provided to demonstrate the effectiveness of the proposed method.</p>\n </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"39 4","pages":"736-744"},"PeriodicalIF":3.9000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Adaptive Control and Signal Processing","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/acs.3964","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Based on a three-dimensional flexible, rotating manipulator, this paper is dedicated to the issue of vibration suppression and angle planning subject to actuator failures and input signal constraints. Considering that a flexible link belongs to a distributed parameter system, the motion model is obtained by Hamilton's principle and described by partial differential equations (PDEs). A novel fault-tolerant control law is proposed to eliminate the elastic deflection and vibration of the flexible link and to follow the desired angle of the rotating base and the manipulator with the appearance of actuator failures. The adaptive operator based on projection mapping is adopted to estimate the loss of the actuator. In addition, the hyperbolic tangent function is employed to constrain the input signal so that it is within an adjustable interval. The Lyapunov's method and LaSalle invariance principle are applied to prove the stability and convergence of the closed-loop system. The simulation results are provided to demonstrate the effectiveness of the proposed method.
期刊介绍:
The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material.
Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include:
Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers
Nonlinear, Robust and Intelligent Adaptive Controllers
Linear and Nonlinear Multivariable System Identification and Estimation
Identification of Linear Parameter Varying, Distributed and Hybrid Systems
Multiple Model Adaptive Control
Adaptive Signal processing Theory and Algorithms
Adaptation in Multi-Agent Systems
Condition Monitoring Systems
Fault Detection and Isolation Methods
Fault Detection and Isolation Methods
Fault-Tolerant Control (system supervision and diagnosis)
Learning Systems and Adaptive Modelling
Real Time Algorithms for Adaptive Signal Processing and Control
Adaptive Signal Processing and Control Applications
Adaptive Cloud Architectures and Networking
Adaptive Mechanisms for Internet of Things
Adaptive Sliding Mode Control.