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.

Evaluation of developing inertial stabilization unit

Abstract: Micro vibrations generated from some internal disturbance sources such as a reaction wheel degrades the pointing stability of an observation satellite. To suppress the pointing error, we have been developing an inertial stabilization unit. A prototype mechanism is designed based on concepts that it has non-contact actuators and sensors, and rotational leaf springs are applied to support a stabilized platform in order to meet two requirements which are precise drive and tolerance for launch load. Two kind of inertial sensors are installed on the platform to measure the attitude directly. Each of these two inertial sensors covers low or high bandwidth signal respectively. These signals will be able to be combined as one wideband signal to stabilize the platform in inertial space. In this paper, the developing prototype mechanism and control equipment are described and the basic evaluation results are reported. Less than 0.3urad as a drive precision and more than 100Hz as a local sensor control bandwidth are verified. The development of the system has not completely finished yet, but the basic performance is certified to meet the design specification. From now on, we continue to develop the unit. These future results can be applied to inter-satellite laser communication system.

Human Motion Characterization Using Wireless Inertial Sensors

Abstract: In this paper the developed wireless IMU (inertial measurement unit) system for human motion characterisation has been described. The experimental layout, test modes and protocols were defined. The experiments for the knee joint characterisation during walking on an inclined treadmill were presented. The human knee joint’s characterisation with the usage of IMU sensors communicating with an Arduino board connected to a computer, was presented by plots and numerical data from experiments.

Modeling and simulation of the warship deformation estimation based on inertial sensors

Abstract: Deformation of large warship can be estimated by inertial matching method according to the outputs of IMU (Inertial Measurement Unit, laser gyro plus accelerometer). A evaluation environment has been developed in this paper, wave loads are calculated first and added to the FE(Finite Element) model of the warship, and then the deformation of each node can be calculated. The output of the IMU can be deduced from the output of the FE model, which will applied for the estimation about the local deformation based on the inertial matching method, the output of the FE model can be transformed to the ideal deformation for the proving of the validity of inertial matching method.

Determining the orientation of a body in space using the Kalman filter

Abstract: Using measurements from inertial sensors such as gyroscopes and accelerometers and other, orientation of solids can be defined in space. To solve this task, one type of sensor is not enough, because there are certain dependencies between the individual measurements. Estimation of orientation must be used in navigation and autopilot systems in aircraft. It uses a unique combination of well known filters, transformation and advanced Kalman filter in order to determine the three Euler angles that define the orientation of the body in space.