车载导航轮式MEMS IMU的设计与性能

O. Mezentsev, J. Collin
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引用次数: 5

摘要

在现代汽车中,MEMS陀螺仪和加速度计为提高稳定性和控制提供了必要的测量。这两种类型的传感器在低频时都有明显的噪声,限制了测量精度,特别是在低动态条件下。此外,未补偿的加速度计倾斜会对加速度估计产生很大的偏差。对于陀螺仪,利用传感器的物理旋转可以消除陀螺误差的恒定部分,降低低频噪声。在地面车辆中,这种旋转很容易存在于车轮中。当惯性传感器连接到车轮上时,两种类型的传感器都可以提供旋转信息,陀螺仪和加速度计通过特定的力测量。此外,由于旋转,准确的车轮航向,滚转和俯仰估计可以估计与高分辨率,结果几乎是无偏差的。将车轮方向与通过已知半径行驶的距离相结合,可以实现经典的航位推算机械化(假设零滑移)和其他车辆动力学监测系统(将车轮滑移视为未知问题)。在本文中,我们详细介绍了轮载惯性系统的硬件和算法,并给出了几种系统配置和应用的测试结果。我们讨论了未来的系统改进,特别是系统小型化和下一代惯性系统的能量收集发展进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Performance of Wheel-mounted MEMS IMU for Vehicular Navigation
In modern cars MEMS gyroscopes and accelerometers provide essential measurements for enhancing the stability and control. Both types of sensors have significant noise at low frequencies, limiting the measurement accuracy especially in low dynamic conditions. In addition, uncompensated accelerometer tilt causes large bias to acceleration estimates. For gyroscopes, physical rotation of the sensor can be used to remove the constant part of the gyro errors and reduce low-frequency noise. In ground vehicles such rotation exists conveniently in wheels. When inertial sensors are attached to wheel, both types of sensors provide information on the rotation, gyroscopes naturally and accelerometers via specific force measurement. In addition, as a result of carouseling, accurate wheel heading, roll and pitch estimation can be estimated with high resolution, and the result is nearly bias-free. Combining the wheel orientation to distance traveled via known radius enables classic dead reckoning mechanization (assuming zero slip) and other vehicle dynamics monitoring systems (considering wheel slip as unknown to be solved). In the paper, we provide details of wheel-mounted inertial system hardware and algorithms and show test results for several system configurations and applications. We discuss future system improvements, in particular, system miniaturization and an energy-harvesting development progress for next-generation inertial systems.
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