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008 140523t2013 my a f m 000 0 eng d
020 _aTHE0005500(Local)
039 9 _a201905160945
_bhanafiah
_y201405231544
_ztraining4
040 _aUMP
090 _aQA76.9.D343 S93 2013 rs Bc.
100 0 _aNur Syazwani Samsudin
245 1 0 _aData filtering of 5-axis inertial measurement unit using kalman filter /
_cNur Syazwani Samsudin
260 _aKuantan, Pahang :
_bUMP,
_c2013
300 _axv, 55 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Mechatronics Engineering) -- Universiti Malaysia Pahang -- 2013
504 _aBibilography : p. 39-41
520 3 _aThis 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.
650 0 _aData filtering
999 _aVIRTUA40
_c4913
_d4919
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992