1993
DOI: 10.1016/0924-4247(93)80047-k
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Adaptive filters in load cell response correction

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Cited by 26 publications
(13 citation statements)
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“…Previous work has shown that the load cell can be modeled as a second-order system [3] (1) where is the mass being weighed, is the effective mass of the sensor, is the damping factor, is the spring constant, and is the force function. The Laplace transfer function of this sensor is (2) This shows that affects all inertial parameters of the sensor such as gain factor , quality factor , and natural frequency .…”
Section: Load Cell Response Compensationmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous work has shown that the load cell can be modeled as a second-order system [3] (1) where is the mass being weighed, is the effective mass of the sensor, is the damping factor, is the spring constant, and is the force function. The Laplace transfer function of this sensor is (2) This shows that affects all inertial parameters of the sensor such as gain factor , quality factor , and natural frequency .…”
Section: Load Cell Response Compensationmentioning
confidence: 99%
“…Software techniques for sensor compensation are reviewed in [2]. Digital adaptive techniques have been used in [3] for load cell response correction. An artificial neural network has been proposed for dynamic measurement which needs a learning phase [4].…”
mentioning
confidence: 99%
“…Due to this control system and signal processing cannot work properly if they collect erroneous data. There are some major drawbacks in current research such as parameter drift, cross-sensitivity, and nonlinearity [1,2].…”
Section: Introductionmentioning
confidence: 99%
“…Thus in some applications, it is demand to operate the measured value in the quick time feasible to speed up the operation of assessment. For example, the sensor output signal is filtering reach response improvement [2]. Imperfection in the sensor output is a widely researched topic and a lot of literatures are present.…”
Section: Introductionmentioning
confidence: 99%
“…Identifying the systems transient responses with different inputs and various settling times will take a lot of time and repetition of getting new responses with the maximum overshoot ( p M ) will be harmful for the related systems. Rapid and accurate weighing in industry and its applications has a vast need in laboratory conditions [1,2]. There are various successful researches in speedy weightings and this depends on the filter being used.…”
Section: Introductionmentioning
confidence: 99%