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Data filtering of 5-axis inertial measurement unit using kalman filter

Nur Syazwani , Samsudin (2013) Data filtering of 5-axis inertial measurement unit using kalman filter. Faculty of Manufacturing Engineering, Universiti Malaysia Pahang.

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Abstract

This thesis has the purpose to design and develop data filtering of 5-axis Inertial Measurement Unit (IMU) using Kalman Filter. This project endeavour to verify that the data from 5DOF IMU can be filtered using Kalman Filter method so that it can be used as an algorithm in motion alignment. The IMU consists of 2-axis of gyroscopes and 3-axis of accelerometer. The Kalman filter is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error. The main contribution of these algorithms is the in-motion alignment approach with unknown initial conditions. This study explores the use of Kalman filtering of measurements from an inertial measurement unit (IMU) to provide information on the orientation. The performances of each filter are evaluated in terms of the roll, pitch, and yaw angles. In this thesis, I had made an entire required analysis, design circuit, output and input data measurement and other important parameters to develop the data filtering of 5-axis IMU that can be implemented by using Kalman filter method. Simulation with constructed data has been done to verify the algorithm. Also the sensor errors and their effects are discussed. Furthermore the strategy for calibration, initialization and alignment for the system is proposed. On the other hand, this thesis is aim to provide objective and scope of the research, the literature review study, research methodology, and fabrication process with result analysis and conclusion as part requirement in submitted the thesis to FYP supervisor.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Mechatronics Engineering) -- Universiti Malaysia Pahang -- 2013
Uncontrolled Keywords: Data filtering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: nurudin nasir
Date Deposited: 15 Dec 2014 03:07
Last Modified: 20 Nov 2015 12:18
URI: http://umpir.ump.edu.my/id/eprint/7625
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