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This research focuses on the integration of accelerometers and gyroscopes for accurate motion tracking. Accelerometers measure acceleration relative to free fall, providing +1G for stationary objects in the Z direction. The study addresses gravity's effects on 3D motion and emphasizes the need for correction as orientation changes. A Kalman filter will be utilized to improve orientation determination by combining inputs from both sensors. The project will include LabVIEW programming for 2D position tracking, bug resolution, and ongoing research for enhancing IMU accuracy through filters and calibration.
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Current Works • Research Accelerometers • Accelerometer measures proper acceleration= acceleration relative to freefall • Therefore a stationary object will have an acceleration of +1G in the Z direction • With Planar motion the effect of gravity can be ignored but for 3D motion gravity will effect all acceleration • Need to correct for Gravity as orientation changes • Research Gyroscopes • Should implement Kalman filter to accurately determine orientation • Uses input from accelerometers to check input from gyroscope to determine orientation • Added file output to LabVIEW and began testing integrating input • Ordered Parts for Final 3D version
What’s Next? • Implement a LabVIEW program to track position and orientation in 2D • Resolve bugs current in LabVIEW program • Figure out why random zero values • Sample rate problem • Continue Research on how to accurately determine position using an IMU • begin implementing filters and calibration procedure