Output tracking for a flexible string system with unknown harmonic disturbances using adaptive internal model

IF 3.9 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Adaptive Control and Signal Processing Pub Date : 2024-06-24 DOI:10.1002/acs.3867

Ning Peng, Jun-Jun Liu, Xiao Peng

引用次数: 0

Abstract

A non-collocated output tracking problem for a flexible string with tip payload at one end was studied in this paper, which is expected to describe by a wave equation coupled ordinary differential equation (ODE) system. The regulated output and the reference trajectory signal with unknown frequency and amplitude are non-collocated with the boundary control input. An adaptive approach has been developed to determine the unknown frequency of a disturbance by constituting an auxiliary trajectory and an internal model structure. In order to regulate exponential output tracking, the proposed error-based adaptive dynamic compensation controller is employed. Closed-loop stability and well-posedness is established by exploiting the principle of semigroup theory. Finally, simulation experiments are performed to show the proposed scheme is very effective.

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利用自适应内部模型对具有未知谐波干扰的柔性弦系统进行输出跟踪

本文研究了一端带有尖端有效载荷的柔性弦的非定位输出跟踪问题，该问题有望通过波方程耦合常微分方程（ODE）系统来描述。调节输出和具有未知频率和振幅的参考轨迹信号与边界控制输入是非共轭的。已开发出一种自适应方法，通过构成辅助轨迹和内部模型结构来确定干扰的未知频率。为了调节指数输出跟踪，采用了所提出的基于误差的自适应动态补偿控制器。利用半群理论的原理，建立了闭环稳定性和良好拟合性。最后，仿真实验表明所提出的方案非常有效。

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来源期刊

International Journal of Adaptive Control and Signal Processing 工程技术-工程：电子与电气

CiteScore

5.30

自引率

16.10%

发文量

163

审稿时长

5 months

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.

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