Composite Active Disturbance Rejection Vibration Isolation Control Based on Compensation for Unknown Disturbance

IF 5 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Zhijun Zhu, Naoxi Dou, Kun Zheng, Yongli Lou, Bin Li, Yong Xiao
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引用次数: 0

Abstract

Active vibration isolation is widely recognized as an effective approach for suppressing low-frequency vibrations. Linear active disturbance rejection control (LADRC) serves as a powerful strategy for active vibration isolation. However, classic LADRC depends on displacement sensors, which are often bulky and prone to measurement instability. Substituting accelerometers for displacement sensors offers a promising alternative, as the former are generally more compact and provide superior measurement stability. Nevertheless, the integration of accelerometers into classic LADRC requires double integration to derive displacement, leading to low-frequency drift that may drive the system out of control. To overcome such limitation, this paper proposes a composite ADRC algorithm with a collaborative disturbance observer (CDO). The CDO integrates reduced-order LESO (RLESO) and Kalman filter (KF) in a complementary manner, which directly uses acceleration as input to avoid the risk of integral drift and realizes the functional complementarity between KF in state reconstruction and RLESO in disturbance estimation. Moreover, a composite scheme combining known-disturbance feedforward, unknown-disturbance feedback, and state errors feedback is adopted. Theory and experiments show that this method can achieve effective state reconstruction and disturbance suppression with only accelerometers while exhibiting good tolerance to small control-loop time delays, providing a streamlined and efficient solution for low-frequency broadband vibration isolation.

基于未知扰动补偿的复合自抗扰隔振控制
主动隔振被广泛认为是抑制低频振动的有效方法。线性自抗扰控制(LADRC)是一种有效的主动隔振策略。然而,经典的LADRC依赖于位移传感器,这些传感器通常体积庞大,容易测量不稳定。用加速度计代替位移传感器是一个很有前途的选择,因为加速度计通常更紧凑,测量稳定性更好。然而,将加速度计集成到经典的LADRC中需要进行双积分才能得到位移,从而导致低频漂移,可能导致系统失控。为了克服这一局限性,本文提出了一种具有协同扰动观测器的复合自抗扰算法。该算法将降阶LESO (RLESO)与卡尔曼滤波器(KF)互补集成,直接以加速度作为输入,避免了积分漂移的风险,实现了状态重构中的KF与扰动估计中的RLESO的功能互补。采用了已知扰动前馈、未知扰动反馈和状态误差反馈相结合的复合方案。理论和实验表明,该方法可以实现有效的状态重建和干扰抑制,同时具有良好的控制环时间延迟容忍度,为低频宽带隔振提供了一种精简高效的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
期刊介绍: The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.
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