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ACTIVE UNBALANCE CONTROL OF ROTOR SYSTEMS USING ON-LINE ALGEBRAIC IDENTIFICATION METHODS

机译:在线代数辨识方法的转子系统主动不平衡控制

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摘要

An active control scheme based on compensation of perturbation force signals is proposed to balance rotating machinery with unknown system parameters and variable operation speed. The algebraic parameter identification methodology is applied to estimate the mass, stiffness, damping, rotor eccentricity, and on-line reconstruction of the unknown centrifugal forces induced by rotor unbalance. In addition, an asymptotic estimation scheme of perturbation signals, which requires position measurements only, is proposed as another alternative to estimate such unbalance forces. Our design methodology considers that a disturbance signal can be locally approximated by a family of Taylor polynomials. Some simulation results are included to show the dynamic and robust performance of the active balancing scheme and perturbation force estimation methods proposed for a rotor-magnetic bearing system.
机译:提出了一种基于微扰信号补偿的主动控制方案,以平衡系统参数未知,运行速度可变的旋转机械。代数参数识别方法用于估计质量,刚度,阻尼,转子偏心率以及转子不平衡引起的未知离心力的在线重建。另外,提出了仅需要位置测量的摄动信号的渐近估计方案,作为估计这种不平衡力的另一种选择。我们的设计方法认为干扰信号可以由泰勒多项式族来局部近似。包括一些仿真结果,以显示针对转子-电磁轴承系统提出的主动平衡方案和微扰力估计方法的动态和鲁棒性能。

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