张小龙,冯能莲,张为公,马德贵.车轮多分力传感器静态解耦方法[J].农业机械学报,2008,39(4):18-23.
.[J].Transactions of the Chinese Society for Agricultural Machinery,2008,39(4):18-23.
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车轮多分力传感器静态解耦方法   [下载全文]
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DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  车轮力传感器  维间耦合  静态解耦  最小二乘支持向量机
基金项目:
张小龙  冯能莲  张为公  马德贵
清华大学
中文摘要:从标定方法和解耦算法两方面对车轮力传感器静态耦合特性进行了研究。给出了详细的标定过程和样本获取方法,基于实际标定样本应用3种回归模型对多分力传感器维间耦合进行量化对比分析。结果表明:标定主通道线性特性显著;自行研制轮力传感器静态耦合率与国外产品相当;最小二乘支持向量回归机回归精度高、泛化能力强和算法稳定;对标准正交最小二乘径向基神经网络算法改进回归效果显著。
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Abstract:Both calibration method and static decoupling algorithm were employed to analyze wheel force transducer (WFT). Firstly, the calibration procedure and extraction of sample data were presented in detail based on the self-developed hydraulic bench. Then, three decoupling methods were utilized respectively to quantify the coupling effects. The main findings are as the follows: the linearity of each main calibration channel is notable; the calculated rate of static coupling of the self-developed WFT is equal to the same-type foreign product; the least square support vector regression (LS-SVR) algorithm owns the characteristics of high regression precision, outstanding generalization and excellent algorithm stability; the method to modify the algorithm of the standard OLS-RBF NN (orthogonal least square radial-basis-function neural network) improves the regression performance significantly. 

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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