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Advanced method for run-to-run control of photolithography overlay registration in high-mix semiconductor production

机译:用于高混合半导体生产中光刻覆盖对准的逐次控制的高级方法

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The application of overlay run-to-run control in high-mix production fabs (such as development fabs, ASIC fabs or foundries) encounters some unique problems. A new observer algorithm called JADE™ (Just-in-Time Adaptive Disturbance Estimation) was developed to solve the high-mix run-to-run control problem. JADE uses recursive weighted least-squares parameter estimation to identify the contributions to variation that are dependent upon tool, product, reference tool, and reference reticle. With the JADE Observer algorithm, run-to-run controllers use all available feedback data independent of the length of time since a particular product was processed. The application of JADE, compared to traditional control techniques, will be demonstrated on high and low-mix fab lithography overlay data. This comparison illustrates the degradation of the typical streamline observer formulation under high-mix operation, with an actual worsening of overlay control relative to open-loop (no run-to-run control) operation. In contrast, the JADE algorithm control performance, while matching the typical streamline formulation at low-mix operation, will be shown to be unaffected under very high-mix photolithography operation.
机译:在高混合生产工厂(例如开发工厂,ASIC工厂或铸造厂)中使用重叠运行控制的应用遇到了一些独特的问题。为了解决高混合运行间控制问题,开发了一种称为JADE™(即时自适应干扰估计)的新观测器算法。 JADE使用递归加权最小二乘参数估计来确定对变量的贡献,这些贡献取决于工具,产品,参考工具和参考标线。使用JADE Observer算法,运行到运行的控制器使用所有可用的反馈数据,而与处理特定产品以来的时间长度无关。与传统控制技术相比,JADE的应用将在高和低混合Fab光刻叠加数据上得到证明。该比较说明了在高混合操作下典型的流线型观察者公式的退化,相对于开环(无运行间运行)操作而言,叠加控制的实际恶化。相比之下,JADE算法的控制性能,虽然与低混合操作下的典型流水线配方相匹配,但在高混合光刻操作下不会受到影响。

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