模糊LS-SVM在加速度传感器动态补偿中的应用  

Application of fuzzy LS-SVM in dynamic compensation on accelerometer sensors

作　　者：张铁头[1] 李杰[2] 

机构地区：[1]河南职业技术学院信息工程系,河南郑州450046 [2]郑州大学体育学院现代教育技术中心,河南郑州450044

出　　处：《中国测试》2012年第5期66-69,共4页China Measurement & Test

摘　　要：提出一种基于模糊LS-SVM传感器的非线性动态误差补偿器设计措施,在传感器与参考模型对输入激励响应的实测数据基础上,运用模糊LS-SVM回归算法构造补偿器,减小微硅加速度传感器因带宽有限引起的动态测量误差。既克服人工神经网络非线性动态补偿过程中易出现的局部极小问题,又减小在标准LS-SVM中一些非主要数据对模型精度的影响,在测试领域中有较好的应用前景。A design method of the dynamic compensation for micro-silicon accelerometer sensors was presented based on the fuzzy least squares-support vector machine（fuzzy LS-SVM）. According to the measurement data of the step response of the sensor and the reference model, the compensator was constructed by fuzzy LS-SVM regression algorithm which reduced the dynamic errors because of the limited bandwidth of micro-silicon aceelerometer sensors. The method can overcome the local minima problem in dynamic compensation of neural networks and reduce the effect on model precision because of some extraessential data in standard LS-SVM, which has a potential future in the field of measurement.

关 键 词：模糊LS-SVM 微硅加速度传感器 动态补偿 仿真 

分 类 号：TP212.6[自动化与计算机技术—检测技术与自动化装置] TP391.9[自动化与计算机技术—控制科学与工程]