Abstract

It has been identified that the inertial system is not a completely observable system in the absence of maneuvers. Although the velocity errors and the accelerometer bias in the vertical direction can be solely observable, other error states, including the attitude errors, the accelerometer biases in the east and north directions, and the gyro biases, are just jointly observable states with velocity measurements, which degrades the estimation accuracy of these error states. This paper proposes an innovative method to improve the system observability for a Micro-Electro-Mechanical-System (MEMS)-based Inertial Navigation System (INS) in the absence of maneuvers by rotary motions of the Inertial Measurement Unit (IMU). Three IMU rotation schemes, namely IMU continuous rotation about the X, Y and Z axes are employed. The observability is analyzed for the rotating system with a control-theoretic approach, and tests are also conducted based on a turntable to verify the improvements on the system observability by IMU rotations. Both theoretical analysis and the results indicate that the system observability is improved by proposed IMU rotations, the roll and pitch errors, the accelerometer biases in the east and north directions, the gyro biases become observable states in the absence of vehicle maneuvers. Although the azimuth error is still unobservable, the enhanced estimability of the gyro bias in the vertical direction can effectively mitigate the azimuth error accumulation.

Highlights

  • An inertial navigation system (INS) measures the specific forces and angular rates using a triad of accelerometers and gyroscopes to determine the motion of a body with respect to the inertial frame

  • The sensor bias in the Y axis is same as the bias in the north direction, while the sensor biases in the east and up directions are determined by the sensor biases in the X and Z axes, and modulated to periodic signals:

  • For the implementation of the inertial measurement units (IMU) rotation about the Z axis, the middle frame of the rotation table is rotated to vertical position (90◦ ), and the IMU axes are re-defined as the X axis pointing left, the Y axis pointing forward and the Z axis pointing up, as shown in the plot (a) of Figure 5

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Summary

Introduction

An inertial navigation system (INS) measures the specific forces and angular rates using a triad of accelerometers and gyroscopes (gyro) to determine the motion of a body with respect to the inertial frame. As a self-contained navigation system, INS has been used for a wide range of applications. INS is an essential geo-referencing device in mobile mapping systems for infrastructure and street surveys [1,2,3], in underwater navigation systems for offshore geophysical exploration and in unmanned aerial vehicles for disaster monitoring [4,5,6], just to mention a few. INS navigation errors include errors in its position, velocity and attitude solutions. Due to their self-contained characteristic, the INS navigation errors accumulate over time. For a MEMS-based inertial system, in particular, the navigation errors would accumulate quickly to a level of several

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