Inertial reference unit

About: Inertial reference unit is a research topic. Over the lifetime, 1306 publications have been published within this topic receiving 22068 citations. The topic is also known as: IRU.

Design and Simulations of High-Sensitivity Multi-Directional Inertial Sensor

Abstract: This paper proposed the high sensitive linear and rotational based differential capacitive inertial sensor. The designed sensor consists of a proof of mass, which resides in an air medium — the acceleration measured along with a change of displacement and the differential capacitance. Sensor modeling and simulation have done with CoventorWare software. SOIMUMPS fabrication process has described because it allows pattern on both sides of an SOI wafer. Solid mechanics and electrostatic analysis have applied for measurement of acceleration. The high sensitivity of 981.28fF/g has observed. The simulated results have tabulated. Finally, performance and future scope of the inertial sensor has discussed.

Signal processing for fiber optic gyroscope (FOG)

Abstract: A fiber-optic gyroscope (FOG) is expected to be the next generation gyroscope for guidance and control, because of various advantages. We have been developing the FOG-Inertial Navigation and Guidance (ING) for M-V satellite launching rocket of the Institute of Space and Astronautical Science (ISAS) since 1990. The FOG-ING consists of an Inertial Measurement Unit (IMU) and an Central Processing Unit Assembly. At current status, the proto-flight model FOG-IMU is being actively developed. And the flight test of the FOG-ING was performed on February 20, 1993, aboard M-3SII-7 satellite launching rocket at the ISAS test facilities in Uchinoura, Japan. This paper presents the signal processing technologies of our FOG which are used for the above FOG-ING.© (1994) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Fine alignment by rotation in strapdown inertial navigation systems

Abstract: To weaken the influence of constant bias of inertial elements on navigation precision of strapdown inertial navigation systems(SINS),a single-axis rotation modulation scheme is put forward and the systematic error function is established,thereby modulating the constant drifts of gyros and the zero error of accelerometers into periodically varying quantities.The systematic observability is improved by changing the strapdown matrix in the inertial navigation error model.The degree of observability for SINS is computed in the context of resting and rotating inertial measurement units respectively using the spectral condition number theory,and accurate alignment of the rotating SINS is achieved by the introduction of Kalman filter.Simulation results show that the presented alignment method could eliminate the impact of constant drifts of gyros and the zero errors of accelerometers on the systematic alignment precision,and greatly improve the alignment precision.

Camera-based inertial sensor alignment for personal navigation device

Abstract: An apparatus and method to enhance dead-reckoning navigation using inertial sensor measurements based on images from a camera are disclosed. A camera build into a mobile device is used to calibrate inertial sensors and rotation matrices. Images from a camera may be used (1) to remove a gravitational element from accelerometer measurements; (2) to set a scaling factor and an offset for a gyrometer; and (3) to set initial and updated values for rotation matrices.