Title :
Moving window RtR fault/disturbance tolerant control approach in high-mix semiconductor manufacturing process
Author :
Dan Ling ; Ying Zheng
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In this work, a new state estimation method based on linear model for high-mix semiconductor manufacturing processes is proposed. IMA(1,1) is a general disturbance model adopted in semiconductor manufacturing process, which can reflect the practical process disturbance. Taking IMA(1,1) disturbance into account, our algorithm exerts moving window approach on the linear model of the process and employs minimum norm estimation method to provide better estimates for the states without the IMA(1,1) model parameters. Furthermore, a step fault is considered and our approach can achieve fault-tolerant control. Comparing to the t-EWMA algorithm, this method provide better control performance, which is proved by simulation results.
Keywords :
control charts; fault tolerance; feedback; manufacturing processes; semiconductor device manufacture; semiconductor technology; state estimation; statistical process control; advanced process control; general disturbance model; high-mix semiconductor manufacturing process; linear model; minimum norm estimation method; model parameters; moving window RtR fault-disturbance tolerant control; practical process disturbance; run-to-run feedback control; state estimation method; step fault; t-EWMA algorithm; threaded exponentially weighted moving average; Analysis of variance; Context; Manufacturing processes; Process control; Semiconductor device modeling; Semiconductor process modeling; State estimation; Run-to-run control; high-mix; moving window approach;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an