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Tracking and Synchronization with Inversion-Based ILC for a Multi-Actuator-Driven Wafer Inspection Cartridge Transport Robot System

Dong Jun Oh, Seung Guk Baek, Kyung-Tae Nam, Ja Choon Koo

发表年份
2021
引用次数
5
访问权限
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摘要

This paper proposes a simple tracking and synchronization control of a dual-drive system using inversion-based iterative learning control (IILC), which reformulates the model at each iteration based on input/output data. By the power of the IILC, this work simplifies the dual-actuator-driven dynamic system control problem that is normally addressed with a MIMO method. This work also shows the potential of the IILC for nonlinear system applications by reformulating the model at each iteration based on the input/output data. An analytical representation of the iteration-varying IILC followed by simulations is provided. A set of physical system testings with a dual-motor gantry and a semiconductor wafer inspection robotic system are carried out to verify the control method.

关键词

Iterative learning controlActuatorComputer scienceControl theory (sociology)Inversion (geology)Nonlinear systemSynchronization (alternating current)Control engineeringEngineeringArtificial intelligence

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