Dynamic compensation of load cell response: A time-varying approach

Piskorowski, Jacek; Barciński, Tomasz

doi:10.1016/j.ymssp.2008.01.001

Cited by 54 publications

(31 citation statements)

References 17 publications

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“…Piskorowski [2] had studied a new method for dynamic compensation of the load cell response using a linear time-varying continuous-time filter. The results verifying the effectiveness of the proposed filter were presented and compared to the traditional time-invariant configuration.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Compression Low Profile Load Cells

Ho¹,

Wang²,

Yeh³

et al. 2017

Proceedings of the 2017 2nd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2017

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Abstract. The purpose of this study is to investigate the stress, strain and deformation distribution of the geometrical shape of the low profile load cell and the stress and strain of the curved beams under the rated load and overload conditions and to evaluate the influence of the stress and strain on the design of the surrounding beams. In the stress analysis, the L-type under an overload condition, the stress reaches 837.8 MPa has exceeded the material yielding stress value 710 MPa. The L-type design of the load cell R guide angle for the stress concentration slow down has obvious help. The C-type design of the curved beams on the back of the arc, you can make the stress distribution more uniform, will not focus on local stress. In the strain analysis results show that the L-type design under the load, the end of the R angle with or without the impact. The C-type design of the bending beams about the L-type maximum strain decreased by about 20 % of the strain. The maximum strain of the L-type occurs at the discontinuous surface of the bending beam and the outer ring and is suitable for pasting the strain gauge. The C-type load cell in the adhesive surface of the plane has a uniform strain, suitable for the strain gauge affixed to the inner ring or outer ring and beam contact position.

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Section: Introductionmentioning

confidence: 99%

Design and Analysis of Compression Low Profile Load Cells

Ho¹,

Wang²,

Yeh³

et al. 2017

Proceedings of the 2017 2nd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2017

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“…However, infrared temperature sensor has a hysteretic output, which needs time to settle down [4]. It is therefore necessary to determine the value of the measurand while the output is still in instability [5].…”

Section: Introductionmentioning

confidence: 99%

Research on dynamic real‐time error correction method using Wiener‐based neural network

You

Chen

et al. 2015

IET Science, Measurement & Technology

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A novel structure of Wiener-based neural network is proposed and applied to correct the dynamic real-time error for the improvement of the sensor's dynamic performance. First, the compensation filter was established based on the principle of inverse model and was described by a dynamic linear-static nonlinear cascade (Wiener model). Then, the neural network structure was devised and the network weights were accord with the parameters of the compensation filter. Followed that, some experimental devices were designed for dynamic calibration of the uIRt/c infrared temperature sensor. Finally, the identification of compensation filter was achieved by network iteration and the actual calibration data of the uIRt/c were made use of in the testing experiments. The results show that the stabilising time of the sensor is reduced to less than 7 ms from 27 ms and the dynamic performance is obviously improved after compensation.

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“…Various methods to reduce the response time have been investigated in similarly damped systems [12][13][14]. Wang and Tang [15] used pulse-amplitude modulated drive signals to stimulate the transducer.…”

Section: Introductionmentioning

confidence: 99%