Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A ighing system in which a sensor is not mounted to a discharger especially in vertical filling gives rise to an excess of ight added to the given target of ight. In addition, the excess is not constant on account of some factors, such as vibration of the machine, fl ow of the substance, and cycle time of the system. These factors cause the surplus to oscillate. To overcome this problem, Kalman filtering i s performed to predict the optimal setpoint to meet the defined target. T o illustrate the performance of the propos ed technique, the result ing outcome is compared with that of using the conventional statistical method. The results have shown that the proposed approach has significantly increased the speed and lored the error. It is pointed out that the proposed algor ithm may be preferable to the traditional statistical technique due to its effectiveness and its simple implementation .
['Sakkarin Sinchai', 'Sukkharak Saechia', 'Tulaya Limpiti', 'Jeerasuda Koseeyaporn', 'Paramote Wardkein']
I am writing a research paper on a idea Estimating an optimal setpoint to lessen errors in filling weighing system based on Kalman filtering
[{"from": "human", "value": "I am writing a research paper on a idea Estimating an optimal setpoint to lessen errors in filling weighing system based on Kalman filtering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A ighing system in which a sensor is not mounted to a discharger especially in vertical filling gives rise to an excess of ight added to the given target of ight. In addition, the excess is not constant on account of some factors, such as vibration of the machine, fl ow of the substance, and cycle time of the system. These factors cause the surplus to oscillate. To overcome this problem, Kalman filtering i s performed to predict the optimal setpoint to meet the defined target. T o illustrate the performance of the propos ed technique, the result ing outcome is compared with that of using the conventional statistical method. The results have shown that the proposed approach has significantly increased the speed and lored the error. It is pointed out that the proposed algor ithm may be preferable to the traditional statistical technique due to its effectiveness and its simple implementation ."}]