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|Title||Enhancing The Performance of Dynamic Weighing Systems using Kalman Filter|
In automated production lines, were the mass of single product must be maintained within predefined weight narrow range; a dynamic weight system is required to attain this objective. Checkweigher is integrated in the production line to reduce the overweight and underweight of the product by acquiring the weight signal from the load cell which affected by different sources of noise and vibration and extracts the correct weight. The main objective of this thesis is to design and implement a Kalman filter that reduces the fluctuation and vibration of product weight and enhance the dynamic weighing system performance, which is observed in the real time, and extract the correct weight of the product. This will increase weighing accuracy while maintaining or increasing the production speed. Furthermore, a mathematical model of the checkweigher and load cell is derived and presented. The simulation and experimental results are presented and compared. The results achieved, show that the Kalman filter may provide effective alternative to the conventional methods especially when the system is nonlinear and low frequency noise is incorporated in the bandwidth of the useful signal.
|Publisher||الجامعة الإسلامية - غزة|
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