精品文档---下载后可任意编辑MEMS 惯性器件参数辨识及系统误差补偿技术的开题报告摘要：惯性器件是惯性导航系统中必不可少的组成部分。传统的惯性器件往往由机械弹簧等器件组成，具有体积大、精度低等缺点。MEMS 技术的进展使惯性器件实现了微型化、轻量化，并且具有更高的精度和稳定性。本文主要讨论基于 MEMS 技术的惯性器件参数辨识及系统误差补偿技术。首先介绍了 MEMS 惯性器件的工作原理和结构特点，然后分析了系统中可能存在的误差因素及其对系统性能的影响。接着提出了基于最小二乘法的惯性器件参数辨识算法，并分析了该算法的优缺点。最后，提出了一种基于卡曼滤波的惯性器件系统误差补偿方法，该方法能够有效地降低系统误差，提高系统精度和稳定性。关键词：MEMS 惯性器件；参数辨识；系统误差补偿；最小二乘法；卡曼滤波Abstract:Inertial devices are essential components of inertial navigation systems. Traditional inertial devices are often composed of mechanical springs and other devices, which have the disadvantages of large volume and low precision. The development of MEMS technology has enabled inertial devices to achieve miniature, lightweight, and higher precision and stability. This paper mainly studies the parameter identification and system error compensation technology of MEMS-based inertial devices. Firstly, the working principle and structural characteristics of MEMS inertial devices are introduced, and then the possible error factors in the system and their impact on the system performance are analyzed. Then, a parameter identification algorithm based on least squares is proposed, and the advantages and disadvantages of the algorithm are analyzed. Finally, a system error compensation method based on Kalman filtering is proposed, which can effectively reduce system errors, improve system accuracy and stability.Keywords: MEMS inertial device; parameter identification; system error compensation; least squares; Kalman filter.
