【摘要】 由于加工工艺和安装工艺的限制,三轴磁传感器必然存在非正交误差。为校正该误差以获取准确的三轴磁数据,建立了三轴磁传感器的非正交误差模型,并通过最小二乘法求解该模型。利用4种智能优化算法对上述最小二乘问题进行求解,并对入侵野草算法进行了改进。仿真与实验结果表明:基于改进型入侵野草算法的最小二乘误差校正方法对因三轴非正交导致的运动噪声抑制率分别为85. 42%和86. 50%,可以较好地对三轴磁传感器非正交误差进行校正。更多还原

【Abstract】 The non-orthogonal error exists in a three-axis magnetic sensor due to the limitations of the machining and installation processes. A non-orthogonal error model of three-axis magnetic sensor is established to correct the error and obtain accurate triaxial magnetic data,and the model is solved by using the least squares method. Four intelligent optimization algorithms are used to solve the least-squares problem,and the invasive weed algorithm is improved. Simulated and experimental results show that the least squares error correction method based on the improved invasive weed optimization( IWO) algorithm can be used to effectively correct the non-orthogonal errors of three-axis magnetic sensors by reducing the motion noise of 85. 42% and 86. 5%,respectively.更多还原