A Study of Run-to-Run Control Efficiency for Quality Improvement

Abstract:

In a traditional run-to-run control scheme, each run requires starting the controlling model, which results in unnecessary adjustment risks when the process is stable. This study used the statistical quality control technique to calculate the adjustment limit, and proposed the start process controller criterion to prevent over-control. The simulation analysis results of the single-input single-output process showed that when the autoregressive parameter is large, the MSE when using the self-tuning controller in addition to an appropriate adjustment limit is less than that of the EWMA controller with an integrated adjustment limit. When the autoregressive parameter is small, no significant differences of MSE are present, though the EWMA controller with an adjustment limit is advantageous due to easier calculation.

• Periodical: Applied Mechanics and Materials (Volume 328)
• Pages: 283-286
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.328.283
• Online since: June 2013
• Authors: Chien Chih Wang
• Keywords: Autoregressive, EWMA Controller, Self-Tuning Controller, Simulation

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