2022
DOI: 10.1007/s11071-022-07324-7
|View full text |Cite
|
Sign up to set email alerts
|

Rate-dependent asymmetric hysteresis modeling and robust adaptive trajectory tracking for piezoelectric micropositioning stages

Abstract: Hysteresis is an inherent characteristic of piezoelectric materials that can be determined by not only the historical input but also the input signal frequency. Hysteresis severely degrades the positioning precision of piezoelectric micropositioning stages. In this study, the hysteresis characteristics and the excitation frequency effects on the hysteresis behaviors of the piezoelectric micropositioning stage are investigated. Accordingly, a rate-dependent asymmetric hysteresis Prandtl-Ishlinskii (RDAPI) model… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
12
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 34 publications
(12 citation statements)
references
References 49 publications
0
12
0
Order By: Relevance
“…Therefore, we designed a method to extract practical control signal u(t) from hysteresis temporary control law w(u) is required. Inspired by the treatment method of single loop hysteresis [28,29], we designed a butterfly hysteresis pseudo-inverse algorithm next. The unknown density functions p(r) and q(c) are calculated online.…”
Section: The Pseudo Inverse Algorithm Design For Butterfly Hysteresismentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, we designed a method to extract practical control signal u(t) from hysteresis temporary control law w(u) is required. Inspired by the treatment method of single loop hysteresis [28,29], we designed a butterfly hysteresis pseudo-inverse algorithm next. The unknown density functions p(r) and q(c) are calculated online.…”
Section: The Pseudo Inverse Algorithm Design For Butterfly Hysteresismentioning
confidence: 99%
“…Presently, adaptive inverse control and robust adaptive control are two main methods to cope with hysteresis nonlinearity. Therein, the robust adaptive control method divides the hysteresis model into a linear part and a nonlinear part [28,29], this division depends on the control signal. Additionally, this method treats the nonlinear part as bounded disturbances.…”
Section: Introductionmentioning
confidence: 99%
“…Nanopositioning stages with high accuracy and fast response are widely used in nanomanipulation and microassembly, including micropart assembly, nanoimprinting, biological cell arrangement, and non-contact optical scanning. [1][2][3] Usually, nanopositioning stages provide multiple degree-of-freedom (DoF) motions to carry upper operation equipment (e.g. a microgripper, micropipette, or microprobe) to achieve precision positioning and posture adjustment of manipulated objects.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the characteristics of the system and the applicability of inverted control must be fully considered in practical applications. To overcome the limitations of back stepping method, the dynamic surface control (DSC) method has been proposed [20][21][22][23][24][25]. This method introduces a first-order low-pass filter in the each design process, which separates the coupling between the previous and the next steps, solves the problem of repeated differentiation of the virtual control law, and overcomes the differential explosion phenomenon.…”
Section: Introductionmentioning
confidence: 99%