scholarly journals Pendeteksi Sikap pada Model Wahana Terbang menggunakan Inertial Measurement Unit

2015 ◽  
Vol 3 (1) ◽  
pp. 16
Author(s):  
NANDANG TARYANA ◽  
DECY NATALIANA ◽  
ALFIE RIZKY ANANDA
Keyword(s):  
Standard Deviation ◽  
Measurement System ◽  
Tilt Angle ◽  
Inertial Measurement Unit ◽  
Measurement Unit ◽  
Inertial Measurement ◽  
Model Aircraft

ABSTRAKPenelitian ini membahas tentang aplikasi dari sensor gyroscope dan accelerometer yang merupakan komponen penyusun alat ukur inersial (inertial measurement unit) untuk mendeteksi sikap (attitude) pada wahana terbang tanpa awak. Sikap (attitude) memberikan 3 (tiga) informasi yaitu roll, pitch dan yaw. Penelitian ini bertujuan untuk melihat apakah alat pendeteksi sikap (attitude) sudah layak atau tidak digunakan pada wahana terbang yang akan di-modelkan yaitu dengan cara merancang sistem pengukuran/pendeteksi serta monitoring sikap (attitude) menggunakan software LabVIEW. Metode yang digunakan untuk mendeteksi kemiringan attitude merupakan pengabungan hasil pengukuran dari gyroscope dan accelerometer. Pengujian alat pendeteksi sikap dilakukan dengan cara mensimulasikan kinematika pergerakan wahana terbang. Berdasarkan hasil pengujian, alat pendeteksi sikap sudah layak digunakan pada wahana terbang Hal ini sesuai dengan simpangan rata – rata yang diperoleh dari hasil pengukuran rotasi pada sumbu x (roll) sebesar 0,58 o, rotasi pada sumbu y (pitch) sebesar 0,53 o dan rotasi pada sumbu z (yaw) sebesar 7,64 o.Kata kunci:  Gyroscope, Accelerometer, Inertial Measurement Unit, attitude ABSTRACTThis journal elaborate the aplication of a gyroscope and accelerometer from an inertial measurement unit (IMU) for sensing attitude on an aircraft. Attitude give 3 (three) basic informations, that information are roll, pitch and yaw. The purpose of this journal is to analys if the attitude sensing device are suitble to be used on a model aircraft. This journal are designing measurement system and monitoring using software from LabVIEW. The method used to detect roll, pitch and yaw is combination from the measurement of gyroscope and accelerometer. The testing of the attitude sensing device by simulating the kinematics of an aircraft. The results shows that the attude sensing device are qualified for sensing tilt angle for x-axis (roll) with standard deviation 0,58 o, sensing tilt angle for y-axis (pitch) with standard deviation 0.53 o and sensing tilit angle for z (axis) with standar deviation 7,64 o.Keyword:  Gyroscope, Accelerometer, Inertial Measurement Unit, attitude  

scholarly journals Physical Extraction and Feature Fusion for Multi-Mode Signals in a Measurement System for Patients in Rehabilitation Exoskeleton

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2588 ◽  
Author(s):  
Canjun Yang ◽  
Qianxiao Wei ◽  
Xin Wu ◽  
Zhangyi Ma ◽  
Qiaoling Chen ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Measurement System ◽  
Inertial Measurement Unit ◽  
Feature Fusion ◽  
Effective Control ◽  
Measurement Unit ◽  
Individual Measurement ◽  
Visual Measurement ◽  
Inertial Measurement

Measurement system of exoskeleton robots can reflect the state of the patient. In this study, we combined an inertial measurement unit and a visual measurement unit to obtain a repeatable fusion measurement system to compensate for the deficiencies of the single data acquisition mode used by exoskeletons. Inertial measurement unit is comprised four distributed angle sensors. Triaxial acceleration and angular velocity information were transmitted to an upper computer by Bluetooth. The data sent to the control center were processed by a Kalman filter to eliminate any noise. Visual measurement unit uses camera to acquire real time images and related data information. The two data acquisition methods were fused and have its weight. Comparisons of the fusion results with individual measurement results demonstrated that the data fusion method could effectively improve the accuracy of system. It provides a set of accurate real-time measurements for patients in rehabilitation exoskeleton and data support for effective control of exoskeleton robot.

Bearing Metrics for Health Monitoring of Machine Tool Linear Axes

2019 ◽  
Author(s):  
Gregory W. Vogl ◽  
Brian C. Galfond ◽  
N. Jordan Jameson
Keyword(s):  
Standard Deviation ◽  
Inertial Measurement Unit ◽  
Ball Bearing ◽  
Geometric Error ◽  
Rotating Machinery ◽  
Measurement Unit ◽  
Ball Bearings ◽  
Statistical Population ◽  
Inertial Measurement ◽  
Signal Features

Abstract Diagnostics and prognostics of rotating machinery ball bearings is quite mature with an abundance of available methods and algorithms. However, extending these algorithms to other ball bearing applications is challenging and may not yield usable results. This work used a linear axis to study the ability of an inertial measurement unit (IMU), along with nine signal features, to measure changes in geometric error motions due to induced faults on the recirculating ball bearings of two carriage trucks. The IMU data was analyzed with the nine features used for rotating machinery systems, including root-mean-square, standard deviation, and kurtosis. For each stage of degradation, the statistical population and median value of each feature were compared against the population and median for no degradation, to monitor feature changes due to ball damage. Correlation analyses revealed an ability of the standard deviation feature to detect statistically significant changes as small as 0.05 micrometers or 0.5 microradians, corresponding to a total damaged surface area of truck balls of less than 0.1 percent.

scholarly journals Embedded inertial measurement unit reveals pole lean angle for cross-country skiing

2020 ◽  
Vol 23 (1) ◽  
Author(s):  
John Bruzzo ◽  
Noel C. Perkins ◽  
Aki Mikkola
Keyword(s):  
Measurement System ◽  
Inertial Measurement Unit ◽  
Angular Rate ◽  
Measurement Unit ◽  
Inertial Measurement ◽  
Lean Angle ◽  
Cross Country Skiing ◽  
Cross Country ◽  
Mean Differences ◽  
Mean Square Errors

AbstractThis study introduces an inertial measurement unit-based measurement system for resolving the dynamic lean angle of a ski pole during double poling while cross-country skiing. The measurement system estimates both the pole lean angle and pole–terrain contact events. Reported are results from 20 trials providing validated estimates of ski pole lean angle and the timing of pole plant and pole lift events. The pole lean angle is estimated from a complementary filter that fuses estimates of orientation from the embedded accelerometer and angular rate gyro. Validation follows from comparison with video capture measurements. Bland–Altman analysis showed agreement between the two measurement modalities with less than 5% bias in the mean differences (relative to the lean angle range of motion). Companion correlation analysis confirms strong correlation ($$r = 0.99$$ r = 0.99 ) between the inertial measurement unit and video-estimated lean angles and with mean root-mean-square errors below 4.5$$^{\circ }$$ ∘ .

scholarly journals Development of a Wireless Inertial Measurement System for Pitching Motion Analysis

2011 ◽  
Vol 2-3 ◽  
pp. 452-457 ◽  
Author(s):  
Seiji Kitamura ◽  
Koichi Sagawa ◽  
Toshiaki Tsukamoto ◽  
Yasuyuki Ishibashi
Keyword(s):  
Angular Velocity ◽  
Measurement System ◽  
Flash Memory ◽  
Inertial Measurement Unit ◽  
Three Dimensional ◽  
Lithium Ion ◽  
Measurement Procedure ◽  
Joint Torque ◽  
Measurement Unit ◽  
Inertial Measurement

This paper presents a wireless inertial measurement system to analyze three- dimensional (3D) pitching movement of baseball. Developed wireless inertial measurement unit (WIMU) sizes 43.7×45.2×25.7 [mm], weighs 48 [g] including Lithium-Ion battery, and consists of two types of 3D accelerometers, two types of 3D gyroscopes, release sensor, a microcontroller (MCU), flash memory, and an RF module. Synchronization of start and completion of measurement procedure for plural WIMUs are wirelessly controlled by a host computer. Three-dimensional pitching form of upper limb and trunk is produced by the numerical integration of the acceleration and angular velocity. The experimental results show that 3D posture, trajectory and joint torque in overhand and sidearm throwing are successfully estimated using the proposed system.

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