统计过程控制和自动过程调整的集成是减少生产过程中波动的一种有效方法。本文分别讨论了应用MMSE控制器和PI控制器进行自动过程调整后的监控问题,比较了用过程输出和调整量2种数据流建立的控制图的效率,并以一个简单的算例说明监控方法的使用。
Statistical process control (SPC) and automatic process control (APC) can be integrated to produce an efficient tool for process variation reduction. In this paper, the monitoring of minimum mean squared error (MMSE) controller and proportional integral (PI) controller after automatic process adjustment is discussed. Then the efficiency of control charts established by process output and control action of two kinds of data flow are compared. A simple algorithm example is used to illustrate monitoring methods.