scholarly journals Integrated GNSS/IMU-Gyrocompass with Rotating IMU. Development and Test Results

2020 ◽  
Vol 12 (22) ◽  
pp. 3736
Author(s):  
Gennadiy Emel’yantsev ◽  
Oleg Stepanov ◽  
Aleksey Stepanov ◽  
Boris Blazhnov ◽  
Elena Dranitsyna ◽  
...  
Keyword(s):  
Inertial Measurement Unit ◽  
Fiber Optic ◽  
Measurement Unit ◽  
Prototype Model ◽  
Navigation Satellite ◽  
Test Results ◽  
Rotating Platform ◽  
Inertial Measurement ◽  
Urban Conditions ◽  
The Given

The paper presents the developed integrated GNSS/IMU gyrocompass which, unlike the existing systems, contains a single-axis rotating platform with two antennas installed on it and an inertial measurement unit with tactical grade fiber-optic gyros. It is shown that the proposed design provides attitude solution by observing the signals of only one navigation satellite. The structure of the integrated GNSS/IMU gyrocompass, its specific features and prototype model used in the tests are described. The given test results in urban conditions confirmed heading determination accurate to ±1.5° (3σ).

Agricultural Machinery Operation Posture Rapid Detection Method Based on Intelligent Sensor

2013 ◽  
Vol 373-375 ◽  
pp. 936-939
Author(s):  
Nan Feng Zhang ◽  
Jing Feng Yang ◽  
Yue Ju Xue ◽  
Zhong Li ◽  
Xiao Lin Huang
Keyword(s):  
Real Time ◽  
Rapid Detection ◽  
Inertial Measurement Unit ◽  
Detection Method ◽  
Measurement Unit ◽  
Test Results ◽  
Agricultural Machinery ◽  
Intelligent Sensor ◽  
Inertial Measurement ◽  
Status Data

Based on agricultural machinery body posture detection parameters and wheels gesture detection parameters collected by gyro inertial measurement unit, an agricultural machinery operation posture rapid detection method is proposed in this paper. The test results show that, the test results of the method are accurate and available, and the method is effective and available for real-time body and wheel status data to further understand the agricultural machinery.

Inertial measurement unit of waverider buoy. Development and test results

2016 ◽  
Vol 7 (3) ◽  
pp. 239-246 ◽  
Author(s):  
D. G. Gryazin ◽  
L. P. Starosel’tsev ◽  
O. O. Belova ◽  
A. N. Dzyuba
Keyword(s):  
Inertial Measurement Unit ◽  
Measurement Unit ◽  
Test Results ◽  
Inertial Measurement

Automated Calibration System for IMU Based on Database and LabVIEW

2013 ◽  
Vol 333-335 ◽  
pp. 2396-2400 ◽  
Author(s):  
Yan Deng ◽  
Chao Xing ◽  
Bin Zhou
Keyword(s):  
Inertial Measurement Unit ◽  
Calibration Procedure ◽  
Measurement Unit ◽  
Test Results ◽  
Calibration System ◽  
Inertial Measurement ◽  
Test Items ◽  
Long Time ◽  
Verification Test ◽  
Data Transferring

The calibration of Inertial Measurement Unit (IMU) is the premise of inertial navigation. It includes series of test items, takes a long time, and requires lots of data transferring and calculating operations. Traditional manual method is difficult to ensure its reliability and efficiency. This paper presented an automated IMU calibration system with three layers: the test hardware devices, the calibration software and the calibration database. Calibration software controlled the tests running in the temperature box, on the turntable, vibration table and marble horizontal table. Calibration database stored the test data and calibration parameters. Through the LabVIEW aided database technique, the system not only completed all the test items but also integrated and simplified the calibration procedure. The verification test results showed that the system improved the calibration efficiency and enhanced the calibration reliability greatly.

scholarly journals SELF STABILISING UTENSIL FOR PATIENTS WITH IMPAIRED MOTOR SKILLS

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Nikita Jain ◽  
Rishika I.S ◽  
Kusuma K.B ◽  
Dr. Manisha Shivaram Joshi
Keyword(s):  
Parkinson’S Disease ◽  
Motor Skills ◽  
Inertial Measurement Unit ◽  
Daily Activities ◽  
Stepper Motor ◽  
Measurement Unit ◽  
Inertial Measurement ◽  
Non Invasive ◽  
Invasive Device ◽  
The Given

- Nowadays, there is a substantial increase in the number of people getting affected by Parkinson's Disease. The degradations of motor skills severely affect the daily activities of patients such as eating, writing, dressing, etc. This project basically proposes a non-invasive device that helps the patient to eat and perform day to day chores independently using the given attachments. This device consists of Arduino which directs the two stepper motor to cancel the tremors detected by the Inertial Measurement Unit (MPU6050) containing 3 axis gyroscope and 3 axis accelerometer which senses these tremors.

scholarly journals GPS/Reduced IMU with a Local Terrain Predictor in Land Vehicle Navigation

2008 ◽  
Vol 2008 ◽  
pp. 1-15 ◽  
Author(s):  
Debo Sun ◽  
Mark G. Petovello ◽  
M. Elizabeth Cannon
Keyword(s):  
Global Positioning System ◽  
Inertial Measurement Unit ◽  
Measurement Unit ◽  
Vehicle Navigation ◽  
Test Results ◽  
Inertial Measurement ◽  
Land Vehicle ◽  
Land Vehicle Navigation ◽  
Global Positioning ◽  
The Cost

In order to reduce the cost and volume of land vehicle navigation (LVN) systems, a “reduced” inertial measurement unit (IMU) consisting of only one vertical gyro and two or three accelerometers is generally used and is often integrated with other sensors. Since there are no horizontal gyros in a reduced IMU, the pitch and roll cannot be calculated or observed directly from the inertial data, and the navigation performance is thus affected by local terrain variations. In this work, a reduced IMU is integrated with global positioning system (GPS) data and a novel local terrain predictor (LTP) algorithm. The latter is used primarily to help estimate the pitch and roll of the reduced IMU system and thus to improve the navigation performance. In this paper, two reduced IMU configurations and two grades of IMUs are investigated using field data. Test results show that the LTP is valid. Specifically, inclusion of the LTP provides more than an 80% horizontal velocity improvement relative to the case when the LTP is not used in a GPS/reduced IMU configuration.

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