Time-Frequency Analysis-Based Real-Time Iterative Compensation for Piezoelectric Nanopositioning Stage

Benefiting from its rapid response, high control bandwidth, and high precision, the piezoelectric actuator (PEA) has been extensively applied to various micro–nano motion circumstances. However, the inherent nonlinearities, especially the stubborn hysteresis effect, severely degrade its control and positioning accuracy. Typical PEA control methods establish the inverse-hysteresis model to compensate, so the performance is highly restricted by the modeling accuracy and sophistication. To circumvent these defects and realize precise tracking, this article has proposed a time-frequency analysis based real-time iterative compensation (TFA-RIC) method. Compared with the existing control structures, the proposed TFA-RIC has the following preponderances: first, hysteresis-model-free, second, solid tracking accuracy, and third, robust external disturbance rejection property. Meanwhile, the stability and convergence of TFA-RIC have been theoretically proven. Various comparative experiments have been conducted to verify the effectiveness and generalization of assorted control scenarios. The experimental consequences have demonstrated the apparent advantages over the benchmark iterative learning control (ILC) method. Especially when the reference trajectory is nonsmooth or the external disturbance is injected, the tracking errors of the proposed method are reduced by about 50% compared with that of ILC.

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Institutions

Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2024-12-01
DOI
https://doi.org/10.1109/tmech.2024.3375459
Citations
15
Primary Topic
Advancements in Materials Engineering
Type
article
Field-Weighted Citation Impact
3.19

Funders

Controls
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article

Time-Frequency Analysis-Based Real-Time Iterative Compensation for Piezoelectric Nanopositioning Stage

Chuxiong Hu, Ze Wang, Bingyang Hou
15 citations
IEEE/ASME Transactions on Mechatronics
Advancements in Materials Engineering
3.19
article

Time-Frequency Analysis-Based Real-Time Iterative Compensation for Piezoelectric Nanopositioning Stage

Chuxiong Hu, Ze Wang, Bingyang Hou
article en
15 citations

Abstract

Benefiting from its rapid response, high control bandwidth, and high precision, the piezoelectric actuator (PEA) has been extensively applied to various micro–nano motion circumstances. However, the inherent nonlinearities, especially the stubborn hysteresis effect, severely degrade its control and positioning accuracy. Typical PEA control methods establish the inverse-hysteresis model to compensate, so the performance is highly restricted by the modeling accuracy and sophistication. To circumvent these defects and realize precise tracking, this article has proposed a time-frequency analysis based real-time iterative compensation (TFA-RIC) method. Compared with the existing control structures, the proposed TFA-RIC has the following preponderances: first, hysteresis-model-free, second, solid tracking accuracy, and third, robust external disturbance rejection property. Meanwhile, the stability and convergence of TFA-RIC have been theoretically proven. Various comparative experiments have been conducted to verify the effectiveness and generalization of assorted control scenarios. The experimental consequences have demonstrated the apparent advantages over the benchmark iterative learning control (ILC) method. Especially when the reference trajectory is nonsmooth or the external disturbance is injected, the tracking errors of the proposed method are reduced by about 50% compared with that of ILC.

IEEE/ASME Transactions on MechatronicsVol. 29(6)
Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality
Climate action
Openalex Percentile: Top 8%
Advancements in Materials Engineering
3.19
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