Sloshing Suppression in Liquid Transport Systems Using Fuzzy Logic Control Algorithm

The free surface movement of liquids during transportation stages is a critical hindrance faced across numerous precision industrial process engineering sectors. Uncontrolled liquid oscillations lead to equipment instability, spillage losses, and complications in meeting stringent quality control demands. This research presents the design, modeling, and experimental validation of a fuzzy logic control-based sloshing suppression system for precision fluid transport mechanisms. The developed platform uses a belt drive system actuated by a PMDC motor to transport a container filled with liquid over a 1-m linear path. A fuzzy controller in a closed feedback loop is implemented for system stabilization. The liquid is represented by an equivalent mechanical pendulum model. Comparative Simulink simulations against conventional PID control demonstrate the superiority of the fuzzy technique for reducing destabilizing slosh by up to 20%. Experimental testing utilizes high-speed flow visualization to analyze liquid dynamics under real-time motion profiles. Results exhibit robust sloshing mitigation for the fuzzy system across disturbance scenarios and varieties of liquids. This investigation successfully proves the concept of a fuzzy slosh controller for industrial liquid transport tasks requiring precision motion quality. The system provides critical industrial value by enhancing operation stability, improving spillage losses, and meeting stringent production demands reliant on smooth fluid conveyance.