Tracking Control for Piezoelectric Actuators with Advanced Feed-forward Compensation Combined with PI Control.

Cristian Napole, O. Barambones, Mohamed Derbeli, Mohammed Yousri Silaa, I. Calvo, J. Velasco
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引用次数: 6

Abstract

: Piezoelectric Actuators (PEAs) are devices that can support large actuation forces compared to their small size and are widely used in high-precision applications where micro-and nano-positioning are required. Nonetheless, these actuators have undeniable non-linearities, the well-known ones being creep, vibration dynamics, and hysteresis. The latter originate from a combination of mechanical strain and electric field action; as a consequence, these can affect the PEA tracking performance and even reach instability. The scope of this paper is to reduce the hysteresis effect using and comparing different control strategies like feedback with a Feed-Forward (FF) structure, which is often used to compensate the non-linearities and diminish the errors due to uncertainties. In this research, black-box models are analyzed; subsequently, a classic feedback control like Proportional-Integral (PI) control is combined with the FF methods proposed separately and embedded into a dSpace platform to perform real-time experiments. Results are analyzed in-depth in terms of the error, the control signal, and the Integral of the Absolute Error (IAE). It is found that with the proposed methods, the hysteresis effect could be diminished to acceptable ranges for high-precision tracking with a satisfactory control signal.
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先进前馈补偿与PI控制相结合的压电驱动器跟踪控制。
压电致动器(PEAs)是一种相对于其小尺寸可以支持大致动力的装置,广泛用于需要微和纳米定位的高精度应用中。然而,这些驱动器具有不可否认的非线性,众所周知的是蠕变,振动动力学和滞后。后者源于机械应变和电场作用的共同作用;因此,这些会影响PEA跟踪性能,甚至达到不稳定。本文的范围是使用和比较不同的控制策略来减少滞后效应,如反馈与前馈(FF)结构,这通常用于补偿非线性和减少由于不确定性引起的误差。本研究对黑盒模型进行了分析;随后,将比例积分(PI)控制等经典反馈控制与单独提出的FF方法相结合,并嵌入到dSpace平台中进行实时实验。结果从误差、控制信号和绝对误差积分(IAE)三个方面进行了深入分析。结果表明,采用该方法可以将滞后效应减小到可接受的范围内,并获得满意的控制信号,从而实现高精度跟踪。
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