[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Borodacz et al., 2022 - Google Patents

Review and selection of commercially available IMU for a short time inertial navigation

Borodacz et al., 2022

View PDF
Document ID
2646931040397243077
Author
Borodacz K
Szczepański C
Popowski S
Publication year
Publication venue
Aircraft Engineering and Aerospace Technology

External Links

Snippet

Purpose The selection of a suitable inertial measurement unit (IMU) is a critical step in an inertial navigation system (INS) design. Nevertheless, inertial sensors manufacturers are unwilling to publish their products' accurate performance parameters along with a price. This …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/10Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration
    • G01C21/12Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C25/00Manufacturing, calibrating, cleaning, or repairing instruments and devices referred to in the preceding groups
    • G01C25/005Manufacturing, calibrating, cleaning, or repairing instruments and devices referred to in the preceding groups initial alignment, calibration or starting-up of inertial devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P15/00Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
    • G01P15/02Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration by making use of inertia forces using solid seismic masses
    • G01P15/08Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration by making use of inertia forces using solid seismic masses with conversion into electric or magnetic values
    • G01P15/097Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration by making use of inertia forces using solid seismic masses with conversion into electric or magnetic values by vibratory elements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C19/00Gyroscopes; Turn-sensitive devices using vibrating masses; Turn-sensitive devices without moving masses; Measuring angular rate using gyroscopic effects
    • G01C19/58Turn-sensitive devices without moving masses
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C19/00Gyroscopes; Turn-sensitive devices using vibrating masses; Turn-sensitive devices without moving masses; Measuring angular rate using gyroscopic effects
    • G01C19/56Turn-sensitive devices using vibrating masses, e.g. vibratory angular rate sensors based on Coriolis forces
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS

Similar Documents

Publication Publication Date Title
Borodacz et al. Review and selection of commercially available IMU for a short time inertial navigation
El-Sheimy et al. Inertial sensors technologies for navigation applications: State of the art and future trends
Woodman An introduction to inertial navigation
US7421343B2 (en) Systems and methods for reducing vibration-induced errors in inertial sensors
Grewal et al. How good is your gyro [ask the experts]
Fontanella et al. An extensive analysis for the use of back propagation neural networks to perform the calibration of MEMS gyro bias thermal drift
Vydhyanathan et al. The next generation Xsens motion trackers for industrial applications
Noureldin et al. Inertial navigation system
Wang et al. Attitude determination method by fusing single antenna GPS and low cost MEMS sensors using intelligent Kalman filter algorithm
Sotak Determining stochastic parameters using an unified method
Abdel-Hafez On the development of an inertial navigation error-budget system
Hajiyev Orbital calibration of microsatellite magnetometers using a linear Kalman filter
Sushchenko et al. Modelling of inertial sensors in UAV systems
Huang et al. Strapdown sculling velocity algorithms using novel input combinations
Barreda Pupo Characterization of errors and noises in MEMS inertial sensors using Allan variance method
Bieliakov Simulation of platform-free inertial navigation system of unmanned aerial vehicles based on neural network algorithms
Tikhomirov et al. Calibration of a strapdown INS with an inertial measurement unit installed on shock absorbers
Filatov et al. Dynamic calibration method of inertial measurement units
Altınöz Identification of inertial sensor error parameters
Grigorie et al. The influences of the gyro sensors' errors on the attitude calculus
Varga et al. Typical Errors Accuracy Classes and Currently Expected Accuracy of Inertial Measurement Units
Abdoli et al. Calibration of strapdown inertial measurement units by linear neural networks
Pachwicewicz et al. MEMS inertial sensors measurement errors
Ebrahim et al. Initial alignment of strap-down inertial navigation system on stationary base for high-speed flying vehicle
Sai Nitish et al. Characterisation of Multi-sensor 6D Pose Determination System for Underslung Winged Body