Control Design for Multi-Feeder Dosing System Using Kalman Filtering

This thesis presents a control and estimation framework for multi-feeder dosing systems, addressing the challenges of feeder dynamics in weight measurements. Kalman Filter is developed to estimate feeder flow rates using noisy weight data. A control strategy is designed to compute optimal feeder opening times based on real-time flow rate estimates, ensuring precise batching.