首页|基于改进Levenberg Marquardt的加速度计最优校准算法

基于改进Levenberg Marquardt的加速度计最优校准算法

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针对组合导航技术中惯性测量单元存在固定误差和随机误差的问题,通过分析惯性加速度计的误差源,建立了加速度计传感器的测量模型,并据此提出了一种基于Levenberg Marquardt改进的高效校准算法.该算法仅需手动旋转待校准惯性测量单元(IMU),使待校准器件处于多组不同平稳姿态即可;借助重力加速度作为参考,设计了基于校准误差的代价函数,通过改进的Levenberg Marquardt算法优化得到最优的误差参数.与传统标定方法相比,该算法无需严格的水平面和昂贵的校准转台,从而节省了设备成本.实验数据对比表明,采用该算法标定的BMI055精确度优于同系列更高规格的BMI088,三轴加速度测量准确率提高了70%以上,证明了该算法具有较好的可实施性.
Optimal Calibration Algorithm of Accelerometer Based on Improved Levenberg Marquardt
Aiming at the issues of fixed errors and random errors in the inertial measurement unit of combination navigation technology,a measurement model for the accelerometer sensor has been established by analyzing the error sources of the inertial accelerometer,and a highly efficient calibration algorithm based on improved Levenberg Marquardt is further proposed.The algorithm only requires manually rotating the inertial measurement unit(IMU)to multiple stable attitudes for calibration;with gravity acceleration as a reference,a cost function based on calibration errors is designed,and the optimal error parameters are obtained through the improved Levenberg Marquardt algorithm.Compared to traditional calibration methods,this algorithm does not require strict horizontal surfaces or expensive calibration turntables,thus saving equipment costs.Experimental data comparisons shows that the accuracy of the BMI055 calibrated using this algorithm is higher than that of the higher-specification BMI088 in the same series,and the accuracy of three-axis acceleration measurement is improved by over 70%,which demonstrates the feasibility of this algorithm is excellent.

inertial sensorcalibration optimizationerror modelLevenberg Marquardt

余亮、韩强、詹福宇

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中电科特种飞机系统工程有限公司,成都 610000

四川轻化工大学自动化与信息工程学院,四川 宜宾 644000

人工智能四川省重点实验室,四川 宜宾 644000

惯性传感器 校准优化 误差模型 Levenberg Marquardt

2024

四川轻化工大学学报(自然科学版)
四川理工学院

四川轻化工大学学报(自然科学版)

影响因子:0.44
ISSN:2096-7543
年,卷(期):2024.37(6)