A Bezier based state calibrating method for low-cost potentiometer with inherent nonlinearity

Hua, Hongliang; Liao, Zhenqiang; Wu, Xiaofeng; Chen, Yongjiang

doi:10.1016/j.measurement.2021.109325

Cited by 15 publications

(4 citation statements)

References 7 publications

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Section: Review Of Current Research On Sensor Linearizationmentioning

confidence: 99%

“…Advanced curve models with enhanced local controllability, such as Bezier curves [39,40] and Splines [41,42], have been employed for sensor linearization. Hua et al [39] and Song et al [40] utilized Bezier curves to develop linearization models for potentiometers in displacement measurements and demonstrated their superiority over PL methods via comparative experiments. By applying the Bezier curve linearization method to a potentiometer within a linear series elastic actuator, the method significantly reduced the displacement control error from 14.2 mm to 4.2 mm.…”

Section: Review Of Current Research On Sensor Linearizationmentioning

confidence: 99%

“…[37] ANN Thermistor Showcased a 1-5-1 shallow ANN outperforming the hardware linearization method in linearization range and accuracy. [39,40] Bezier curve Potentiometer displacement sensor Employed Bezier curve modeling for sensor linearization, improving the position error from 14.2 mm to 4.2 mm. [41] S-spline General on-chip smart sensors Developed a recursive S-spline for on-chip linearization, achieving ±0.005% F.S.…”

Section: Capacitive Displacement Sensormentioning

confidence: 99%

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Novel Information-Driven Smoothing Spline Linearization Method for High-Precision Displacement Sensors Based on Information Criterions

Zhang,

Dai,

Chen

et al. 2023

Sensors

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A noise-resistant linearization model that reveals the true nonlinearity of the sensor is essential for retrieving accurate physical displacement from the signals captured by sensing electronics. In this paper, we propose a novel information-driven smoothing spline linearization method, which innovatively integrates one new and three standard information criterions into a smoothing spline for the high-precision displacement sensors’ linearization. Using theoretical analysis and Monte Carlo simulation, the proposed linearization method is demonstrated to outperform traditional polynomial and spline linearization methods for high-precision displacement sensors with a low noise to range ratio in the 10−5 level. Validation experiments were carried out on two different types of displacement sensors to benchmark the performance of the proposed method compared to the polynomial models and the the non-smoothing cubic spline. The results show that the proposed method with the new modified Akaike Information Criterion stands out compared to the other linearization methods and can improve the residual nonlinearity by over 50% compared to the standard polynomial model. After being linearized via the proposed method, the residual nonlinearities reach as low as ±0.0311% F.S. (Full Scale of Range), for the 1.5 mm range chromatic confocal displacement sensor, and ±0.0047% F.S., for the 100 mm range laser triangulation displacement sensor.

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Section: Review Of Current Research On Sensor Linearizationmentioning

confidence: 99%

Section: Review Of Current Research On Sensor Linearizationmentioning

confidence: 99%

Section: Capacitive Displacement Sensormentioning

confidence: 99%

See 1 more Smart Citation

Novel Information-Driven Smoothing Spline Linearization Method for High-Precision Displacement Sensors Based on Information Criterions

Zhang,

Dai,

Chen

et al. 2023

Sensors

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“…According to Lamandé et al (2015), a soil-pressure sensor can ensure accuracy of the experimental results after being calibrated under experimental conditions. A potentiometerbased calibration method was used in this experiment (Hua et al, 2021). There were zero adjustment, span adjustment or two screws on the sensor.…”

Section: Soil Box and Transducersmentioning

confidence: 99%

Lateral stress and its transmission law caused by operation of a double-wing subsoiler in sandy loam soil

Qin

Zhao

Zhang

et al. 2022

Front. Environ. Sci.

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Sandy loam soils are widespread and important for agricultural soil use. The lateral stress caused by the loosening shovel of a subsoiler produces lateral disturbances in sandy loam soil, reducing compaction and improving soil structure. To explore the variation and transmission of lateral stress due to the operation of a double-wing subsoiler in sandy loam soil, a lattice of point-type soil sensors was arranged in a soil bin, and the lateral stress generated by subsoiling was measured in the shallow, medium, and deep soil layers. The experimental results show that when the lateral stress generated by the double-wing subsoiler is transferred to the lateral position of different distances.The lateral stress shows a sinusoidal fluctuation law with time, the sine wave frequency range is: shallow (0.366–0.549); middle (0.306–0.494); and deep (0.088–0.501). There were greater fluctuation amplitudes in the transfer process for the shallow and deep soil layers than for the middle layer. Shallow soil had the largest final stable lateral stress (0.1617 N), and middle soil the smallest (0.0733 N). Thus, lateral stress from deep loosening has the greatest effect on shallow soil and the least effect on middle soil. These results indicate that the fluctuating lateral stresses generated by double-wing-subsoiler operation drive a fluctuating soil disturbance that can improve soil structure, and that they are greater for shallow and deep soils than for middle soils.

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An improved rational Bezier model for pneumatic constant force control device of robotic polishing with hysteretic nonlinearity

Chen

Zhao

Jin

2022

Int J Adv Manuf Technol

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The pneumatic constant force control device has been widely used in robot deburring, sanding, polishing, and other fields due to its good flexibility, simple control, and low cost. The force control accuracy of the pneumatic constant force system could be greatly affected by its nonlinear hysteresis characteristics in the process from the cylinder input to the force output at the end of the device. A Rational Bezier based state fitting method (BSFM) has been presented for calibrating the inherent nonlinearity of the low-cost pneumatic constant force system. Compared with the most widely used PSFM, which is a Polynomial based state fitting method, the BSFM could calibrate the strong inherent nonlinearity of the system more smoothly with the lower ordered model and in a continuous form rather than the piecewise form of the PSFM. The BSFM could maintain a balance between simplicity and precision. Through a series of comparative experiments with different contact forces and feed rates, the proposed method has smaller force overshoot and when active force control is turned on the force variation is greatly reduced to less than 2 N. The average roughness of the workpiece reached 0.4 µm after polishing.

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A Bezier based state calibrating method for low-cost potentiometer with inherent nonlinearity

Cited by 15 publications

References 7 publications

Novel Information-Driven Smoothing Spline Linearization Method for High-Precision Displacement Sensors Based on Information Criterions

Novel Information-Driven Smoothing Spline Linearization Method for High-Precision Displacement Sensors Based on Information Criterions

Lateral stress and its transmission law caused by operation of a double-wing subsoiler in sandy loam soil

An improved rational Bezier model for pneumatic constant force control device of robotic polishing with hysteretic nonlinearity

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