An Integrated Temperature Compensation Method for Thermal Expansion-based Angular Motion Sensors

Luo, Huahuang; Cabot, José; Duan, Mingzheng; Lee, Yi-Kuen

doi:10.1109/sensors47087.2021.9639602

Cited by 1 publication

(1 citation statement)

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“…Hardware and software methods are two ways to compensate for the impacts of temperature. Compensating methods focusing on hardware aim to eliminate the temperature's impact on the regulating circuit [4][5][6]. However, compensating on the circuit is usually costly and lacks flexibility.…”

Section: Introductionmentioning

confidence: 99%

A Temperature Compensation Method for aSix-Axis Force/Torque Sensor Utilizing Ensemble hWOA-LSSVM Based on Improved Trimmed Bagging

Gao

Cao

et al. 2022

Sensors

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The performance of a six-axis force/torque sensor (F/T sensor) severely decreased when working in an extreme environment due to its sensitivity to ambient temperature. This paper puts forward an ensemble temperature compensation method based on the whale optimization algorithm (WOA) tuning the least-square support vector machine (LSSVM) and trimmed bagging. To be specific, the stimulated annealing algorithm (SA) was hybridized to the WOA to solve the local entrapment problem, and an adaptive trimming strategy is proposed to obtain the optimal trim portion for the trimmed bagging. In addition, inverse quote error (invQE) and cross-validation are employed to estimate the fitness better in training process. The maximum absolute measurement error caused by temperature decreased from 3.34% to 3.9×10−3% of full scale after being compensated by the proposed method. The analyses of experiments illustrate the ensemble hWOA-LSSVM based on improved trimmed bagging improves the precision and stability of F/T sensors and possesses the strengths of local search ability and better adaptability.

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Section: Introductionmentioning

confidence: 99%