Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15181
Title: Attitude and Heading Estimation Using Artificial Neural Networks
Authors: Arafa Ali Mohmmed Abdalla
Keywords: Artificial Neural Networks
Issue Date: Sep-2018
Publisher: Al-Neelain University
Abstract: This study discusses the use of artificial neural networks to design of the AHRS to simulate the systems that use filters (Kalman filter) include and study the behavior of the network and how it deals with this type of data . Usually these systems has input which is an IMU (3-axis accelerometer, 3-axis magnetometer and 3-axis magnetometer) and an embedded kalman filter for yaw, pitch and roll (Ѱ, Ѳ and ф) respectively, instead of using the embedded kalman filter with the IMU module , we use an artificial neural network . Several models of neural networks have been designed and the result obtained were satisfactory and it can used in future researches.
URI: http://hdl.handle.net/123456789/15181
Appears in Collections:Masters theses : Engineering

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