Abstract: The system for process monitoring and control integrates statistical process control (SPC) with automatic process control (APC) through the use of a fuzzy logic (FZL) controller, In order to relate the inputs to the output, fuzzy inference rules are applied. The fuzzy rules are based on the use of the APC controller during normal situations, deviating to SPC as soon as abnormalities are detected. When the output error is negligible and the change in the output quality characteristic is almost zero, the fuzzy logic controller (FZLC) provides a utilization factor parallel for applying the APC controller. The FZLC has two inputs: the output error ert and the rate of change of the output quality characteristic dyt. The FZLC has a single output: the controller utilization factor wt. When ert is large and dyt is maximum, the controller utilization factor wt will utilize the application of the SPC controller.

Abstract: The system for process monitoring and control integrates statistical process control (SPC) with automatic process control (APC) through the use of a fuzzy logic (FZL) controller. In order to relate the inputs to the output, fuzzy inference rules are applied. The fuzzy rules are based on the use of the APC controller during normal situations, deviating to SPC as soon as abnormalities are detected. When the output error is negligible and the change in the output quality characteristic is almost zero, the fuzzy logic controller (FZLC) provides a utilization factor parallel for applying the APC controller. The FZLC has two inputs: the output error ert and the rate of change of the output quality characteristic dyt. The FZLC has a single output: the controller utilization factor wt. When ert is large and dyt is high, the controller utilization factor wt will utilize the application of the SPC controller.