Adaptive Robust Tracking Control Based on Real-Time Iterative Compensation

In nanoscale wafer defect inspection, raster scan imaging imposes sub-micrometer requirements on motion stage tracking accuracy, while trajectory changes and load variations pose significant challenges to traditional control methods. This paper proposes a Real-time Iterative Compensation based Adaptive Robust Control (RICARC) strategy. Within this framework, the ARC module incorporates RLS-based online parameter estimation, a PID-type feedback control term, and a robust control term to suppress lumped disturbances. On this basis, the RIC module establishes a discrete prediction model based on the ARC closed-loop system and iteratively generates optimal feedforward compensation signals at each sampling instant to further suppress residual tracking errors. Experimental results across five operating scenarios, including periodic, dual-frequency, and S-curve trajectories, as well as payload variation, and strong external disturbances, demonstrate that RICARC consistently achieves sub-micrometer RMS accuracy ranging from 0.120 to 0.240 μm, reducing RMS errors by over 75% compared with conventional ARC, effectively enhancing imaging quality in nanoscale wafer defect detection systems.

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Publication Details

Journal
Electronics
Published
2026-04-01
DOI
https://doi.org/10.3390/electronics15071471
Primary Topic
Iterative Learning Control Systems
Type
article
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article

Adaptive Robust Tracking Control Based on Real-Time Iterative Compensation

Xiangji Guo, Ming Ming, Tianyu Zhang, Tingkai Yang et al.
Electronics
Iterative Learning Control Systems
article

Adaptive Robust Tracking Control Based on Real-Time Iterative Compensation

Xiangji Guo, Ming Ming, Tianyu Zhang, Tingkai Yang, Qinxia Guo
article en

Abstract

In nanoscale wafer defect inspection, raster scan imaging imposes sub-micrometer requirements on motion stage tracking accuracy, while trajectory changes and load variations pose significant challenges to traditional control methods. This paper proposes a Real-time Iterative Compensation based Adaptive Robust Control (RICARC) strategy. Within this framework, the ARC module incorporates RLS-based online parameter estimation, a PID-type feedback control term, and a robust control term to suppress lumped disturbances. On this basis, the RIC module establishes a discrete prediction model based on the ARC closed-loop system and iteratively generates optimal feedforward compensation signals at each sampling instant to further suppress residual tracking errors. Experimental results across five operating scenarios, including periodic, dual-frequency, and S-curve trajectories, as well as payload variation, and strong external disturbances, demonstrate that RICARC consistently achieves sub-micrometer RMS accuracy ranging from 0.120 to 0.240 μm, reducing RMS errors by over 75% compared with conventional ARC, effectively enhancing imaging quality in nanoscale wafer defect detection systems.

ElectronicsVol. 15(7)
Chinese Academy of Sciences (CN), Shanghai Institute of Technical Physics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 9%
Iterative Learning Control Systems
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