DEVELOPMENT OF THE PREDICTIVE MULTI-ZONE FUZZY-PID CONTROL ALGORITHM

Abstract

This article proposes a Predictive Multi-Zone Fuzzy-PID intelligent control system designed to ensure stable and uniform moisture distribution during the steam humidification process of grain products. The distinctive feature of the system is the division of the process along the screw conveyor into four independent control zones, where local moisture control is implemented using fuzzy-PID regulators while accounting for inter-zone interactions. Based on the Kalman filter, moisture variations in each zone are predicted in advance, compensating for inertia delays and enhancing the control response speed. In addition, the system optimizes adaptive steam delivery according to steam pressure and grain flow rate and integrates an explainable AI (XAI) component that interprets each control decision for the operator. As a result, the proposed multi-zone fuzzy-PID control system significantly improves uniform moisture distribution, dynamic accuracy, and stability compared to conventional PID and standard fuzzy-PID systems. The presented approach is theoretically analyzed and validated with reference to relevant sources at a level comparable to Scopus-indexed research.