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.

System and method for calibrating a location determined by an inertial navigation unit

Abstract: A method, system and inertial navigation unit are provided in order to facilitate location determination by calibrating a location determined by an inertial navigation unit. The method may receive a magnetic pulse, such as a magnetic pulse generated by a lightening strike, with a plurality of first magnetometers and with a second magnetometer co-located with the inertial navigation unit. The method may also compare a representation of the magnetic pulse received by the plurality of first magnetometers to a respective representation of the magnetic pulse received by the second magnetometer. Further, the method may correct the location determined by the inertial navigation unit as a result of the comparing of the representation of the magnetic pulse received by the plurality of first magnetometers to the respective representation of the magnetic pulse received by the second magnetometer.

Inertial measurement systems, and methods of use and manufacture thereof

Abstract: A micro-electro-mechanical systems (MEMS) inertial measurement system facilitates accurate location and/or attitude measurements via passive thermal management of MEMS inertial sensors. Accuracy of the system is also improved by subjecting the inertial sensors to programmed single-axis gimbal motion, and by performing coarse and fine adjustments to the attitude estimates obtained by the system based on the programmed motion and on the passive thermal management of the sensors.

Research on strapdown scheme of nongyroscopic strapdown inertial navigation system

Abstract: A new strapdown scheme is put forward for the Nongyroscopic Strapdown Inertial Navigation System (NGSINS), which is to make its Inertial Measurement Unit(IMU) rotate around an axis fixed in the vehicle body. With the proper configuration of nine accelerometers and an appropriate definition of Strapdown Matrix, this scheme can obtain high accuracy of angular velocity with no need for high precision sensors to measure the angular velocity of the IMU. The theoretical analysis and digital simulation show that to obtain the same accuracy of navigation, this scheme only needs much lower precision accelerometers, about one thousand times, than the traditional scheme of the NGSINS.

Modeling and Simulation of Vehicle Inertial Measurement Unit

Abstract: Modeling and simulation of vehicle inertial measurement unit is one of key issues in vehicle dynamics parameters identification and its related researches which based on inertial navigation technology.To solve this problem,a vehicle inertial sensor simulation model was proposed.It combines a whole vehicle dynamics model and an inertial sensor mathematical model.First,motion equations of the vehicle trajectory simulation module were simplified through considering the actual driving experience.Then a simulation data generator of vehicle inertial measurement unit was designed.Finally,the proposed model was verified by performing strapdown inertial attitude algorithm simulation.

Wide bandwidth sensing of micro angular motion

Abstract: There has been an increasing interest in sensing angular micro motion, ranging from personal tremor in the medical applications to sensitive vibration platform for surveillance in the defense applications. Sensing micro angular motion is a challenging task though because of the requirement of high accuracy. In addition, the motion is small which results in weak sensor signals. Hence, this paper proposes a method to sense micro angular motions. Inertial sensors, like accelerometers and gyroscopes, are small in size and is a great choice for several applications. Inertial Measurement Unit (IMU) is a strong candidate for high frequency motion because of the high velocity and acceleration, and hence strong signal strength. However, the drawbacks of accelerometer and gyroscope are drift and failure to sense micro motion under low frequency due to the low signal strength at lower frequency. Camera, on the other hand, is capable of sensing low frequency micro motion. Hence, to address the issue on drift, Weighted Fourier Linear Combiner (WFLC) is used to perform zero phase filter plus estimate the displacement. To increase the accuracy, this paper utilizes the distance between the image and camera. Sensor fusion is then performed to obtain a wide bandwidth sensing of the micro angular motions. Experiments are performed and the results demonstrate that the proposed algorithm can estimate the displacement of frequencies from low to high with high resolution.