Nonlinear correction of photoelectric displacement sensor based on least square support vector machine

Jie-rong Guo , Yi-gang He , Chang-qing Liu

Journal of Central South University ›› 2011, Vol. 18 ›› Issue (5) : 1614 -1618.

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Journal of Central South University ›› 2011, Vol. 18 ›› Issue (5) : 1614 -1618. DOI: 10.1007/s11771-011-0880-6
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Nonlinear correction of photoelectric displacement sensor based on least square support vector machine

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Abstract

A model of correcting the nonlinear error of photoelectric displacement sensor was established based on the least square support vector machine. The parameters of the correcting nonlinear model, such as penalty factor and kernel parameter, were optimized by chaos genetic algorithm. And the nonlinear correction of photoelectric displacement sensor based on least square support vector machine was applied. The application results reveal that error of photoelectric displacement sensor is less than 1.5%, which is rather satisfactory for nonlinear correction of photoelectric displacement sensor.

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least square support vector machine / position / photoelectric displacement sensor / nonlinear correct

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Jie-rong Guo,Yi-gang He,Chang-qing Liu. Nonlinear correction of photoelectric displacement sensor based on least square support vector machine. Journal of Central South University, 2011, 18(5): 1614-1618 DOI:10.1007/s11771-011-0880-6

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