2013
DOI: 10.1177/1077546313479986
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Robust loop-shaping control for a nano-positioning stage

Abstract: This paper proposes robust loop-shaping techniques for a two-axis nano-positioning piezoelectric stage. Piezoelectric transducers are usually used to drive precision mechanisms because of their favorable properties, such as high resolution, high accuracy, and large driving force. However, the nonlinear characteristics of piezoelectric materials can degrade system performance. Therefore, we model a piezoelectric stage as a linear system, and regard its nonlinear factors as system uncertainties. Because robust c… Show more

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Cited by 18 publications
(13 citation statements)
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References 31 publications
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“…Therefore, many control strategies has been applied to PZT control. For example, Wang et al [1] design a PZT stage that can achieve a root-mean-square error (RMSE) of 5.6 nm. Chen et al [2] provided precision tracking of a piezo-driven stage by charge feedback control.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, many control strategies has been applied to PZT control. For example, Wang et al [1] design a PZT stage that can achieve a root-mean-square error (RMSE) of 5.6 nm. Chen et al [2] provided precision tracking of a piezo-driven stage by charge feedback control.…”
Section: Introductionmentioning
confidence: 99%
“…apply H loop-shaping techniques[1], [11], to improve system performance. We adjust the weighting functions by experiments and select the following weighting function for the PZT stage:…”
mentioning
confidence: 99%
“…The positioning performance is further degraded because of hysteresis Wang et al (2014) and creep effects Mazlan & Ripin (2017) arising from the piezoelectric actuators popularly employed in nanopositioners. This is due to their desirable properties, such as high-bandwidth, ease of actuation and system integration, repeatability, nearly atomic-level resolution, frictionless and stictionless motion etc, Gu et al (2016).…”
Section: Introductionmentioning
confidence: 99%
“…Helfrich et al 13 combined iterative learning control and robust control to obtain an RMSE of less than 40 nm on three axes. Wang et al 14 applied robust loop-shaping techniques to PZT to achieve an RMSE of 5.4 nm for a travel of 1000 nm. Other robust control techniques can also be considered.…”
Section: Introductionmentioning
confidence: 99%