An Intuitively Derived Decoupling and Calibration Model to the Multiaxis Force Sensor Using Polynomials Basis

Precise decoupling and calibration of multiaxis force sensor (MFS) is crucial in engineering applications. This work presents a novel nonlinear decoupling and calibration approach to meet the physical coupling characteristics of the structural strain-deformation transducers. It deals with the most f...

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Veröffentlicht in:	IEEE sensors journal 2024-04, Vol.24 (7), p.9514-9522
Hauptverfasser:	Feng, Lihang, Jia, Lixin, Wang, Dong, Wang, Hao, Wang, Sui, Xiong, Pengwen, Song, Aiguo
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Bernstein polynomials Calibration Couplings cross-coupling Decoupling decoupling and calibration Fitting Force Force sensors Machine learning Mathematical models Modelling Multiaxis multiaxis force sensor (MFS) Neural networks Polynomials Sensors Structural strain Support vector machines
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