Compensation Method of MEMS Accelerometer Based on Six-position Method and KF
MEMS sensors have attracted much attention because of their advantages such as small size and low cost.However,their error level is relatively high.Due to the difference in error characteristics of MEMS inertial sensors with the same specifications,it is a challenging task to establish an accurate sensor error model.The low accuracy MEMS inertial sensor error mainly involves zero bias,standardized specification influence factor and relatively large installation deviation.To overcome this error source,a MEMS accelerometer compensation method using Kalman filtering and six-position method is proposed.The experimental results show that the output error of MEMS accelerometer is obviously reduced after compensation.The absolute error of roll angle in the range of-90° to+90° is reduced from 2.44° before the compensation to 0.64° by applying the proposed method.
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