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用神经网络拓展传感器的有效测量范围
An Approach of Enlarging Measuring Range of Sensor System Based on Neutral Networks
【摘要】 针对自动检测系统中各环节存在的死区、非线性及饱和等特性 ,我们提出了采用神经网络补偿的方法来消除这些系统性误差的影响 ,从而有效地拓宽传感器测量系统的检测范围 ,在硬件成本不变的情况下 ,可以提高系统的使用性能。经过在陀螺仪方位检测系统中的现场实验 ,证明了该方法具有一定的实用价值。
【Abstract】 An approach of neutral networks to eliminate systemic error caused by dead area, nonlinear and saturation and widen measuring range in automobile measuring systems is proposed. Measuring performance of the sensor can be improved at same costs of hardware. The approach was proved feasible via practical application in gyroscope orientation apparatus.
【关键词】 传感器;
神经网络;
非线性误差;
陀螺仪;
量程拓展;
【Key words】 sensor; neutral networks; no-linear error gyroscope; measuring range broaden;
【Key words】 sensor; neutral networks; no-linear error gyroscope; measuring range broaden;
- 【文献出处】 传感技术学报 ,Journal of Transcluction Technology , 编辑部邮箱 ,2004年04期
- 【分类号】TP274
- 【被引频次】2
- 【下载频次】100