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首页> 外文期刊>Mechanical systems and signal processing >Control of a nonlinear flexure-jointed X-Y positioning stage using LTV-FIR command prefiltering for finite-time error cancellation
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Control of a nonlinear flexure-jointed X-Y positioning stage using LTV-FIR command prefiltering for finite-time error cancellation

机译:使用LTV-FIR命令预过滤器控制非线性弯曲X-Y定位阶段,以进行有限时间错误取消

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摘要

This paper presents a new command input prefilter that achieves exact residual vibration cancellation for a single degree-of-freedom oscillator with linear time-varying (LTV) dynamics. The prefilter has a time-varying finite impulse response (FIR) function that is constructed using a time-warping technique and can be convolved with any command input signal to achieve finite settling time. Numerical results confirm that a discrete-time implementation of the prefilter can suppress vibration more effectively than robust linear time-invariant prefilter designs. The LTV-FIR prefilter was applied to a flexure-based X-Y micro-positioning platform having nonlinear dynamics and cross-coupling between motion axes. A configuration-dependent LTV model was constructed by using polynomial interpolation of a set of experimentally identified LT1 models. Prefiltering was applied separately to X and Y axis command variables and a cross-coupling compensation technique used to minimize dynamic interaction between the motion axes. The LTV-FIR prefilter is shown to be effective for settling-time reduction in point-to-point motions (reduced from > 6 to ≈ 0.4 seconds). Moreover, improved motion performance could be achieved over a large operating space without the use of high-gain feedback control, which is inappropriate in this case due to noise excitation and the risk of instability.
机译:本文介绍了一个新的命令输入预滤器,实现了具有线性时变(LTV)动态的单一自由度振荡器的精确残留振动消除。 Precter具有时变的有限脉冲响应(FIR)函数,该响应是使用时变技术构造的,并且可以通过任何命令输入信号进行卷积,以实现有限稳定时间。数值结果证实,预滤器的离散时间实现可以比强鲁的线性时间不变预滤器设计更有效地抑制振动。 LTV-FIR预滤器应用于具有非线性动力学和运动轴之间的交叉耦合的基于挠性X-Y微定位平台。通过使用一组实验识别的LT1模型的多项式插值来构建配置相关的LTV模型。预过滤器分别应用于x和y轴命令变量和用于最小化运动轴之间的动态交互的交叉耦合补偿技术。 LTV-FIR预滤器显示有效地沉降时间减小点对点运动(从> 6至≈0.4秒减少)。此外,在大型操作空间中可以实现改进的运动性能而不使用高增益反馈控制,这在这种情况下是不适当的噪声激励和不稳定性的风险。

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