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基于支持向量機的CVT壓力傳感器誤差補
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Compensation of CVT Pressure Sensor Based on Support Vector Machine
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    摘要:

    針對無級變速器（CVT）壓力傳感器測量誤差較大的問題,，提出了一種應用支持向量機（SVM）建立誤差補償模型的方法,。在分析引起測量誤差因素的基礎上,，確立了誤差補償模型的輸入,、輸出基本結構,；通過試驗構建訓練樣本集，并完成誤差補償模型的訓練，在訓練過程中，通過遺傳算法對模型參數進行了優(yōu)化,。試驗結果表明,，設計的誤差補償模型可以有效提高傳感器的線性度,，并可以把最大絕對誤差從0.5MPa降至0.15MPa，顯著提高了壓力傳感器的性能和測量精度,。

    Abstract:

    Aiming at the problem of greater measurement error of pressure sensor in continuously variable transmission (CVT), a method of establishing error compensation model using support vector machine (SVM) was presented. Firstly, the basic structure of error compensation model was determined based on the analysis of the factors inducing measurement error. Secondly, training set was constructed by experiment, and the error compensation model was trained with the training data. Finally, the model parameters were optimized by the genetic algorithm during th e training process. The experiment results indicate that the proposed error compensation model improves the linearity of the pressure sensor, and reduces the maximum absolute error from 0.5MPa to 0.15MPa, which greatly improves the performance and measurement accuracy of pressure sensor. 

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何麗紅,劉金剛,周云山.基于支持向量機的CVT壓力傳感器誤差補[J].農業(yè)機械學報,2009,40(6):43-46. Compensation of CVT Pressure Sensor Based on Support Vector Machine[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(6):43-46.

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