International Journal of Electrical and Computer Engineering
Vol 7, No 5: October 2017

Inertial Navigation for Quadrotor Using Kalman Filter with Drift Compensation

Lasmadi Lasmadi (Universitas Gadjah Mada, Yogyakarta, Indonesia)
Adha Imam Cahyadi (Universitas Gadjah Mada, Yogyakarta, Indonesia)
Samiadji Herdjunanto (Universitas Gadjah Mada, Yogyakarta, Indonesia)
Risanuri Hidayat (Universitas Gadjah Mada, Yogyakarta, Indonesia)



Article Info

Publish Date
01 Oct 2017

Abstract

The main disadvantage of an Inertial Navigation System is a low accuracy due to noise, bias, and drift error in the inertial sensor. This research aims to develop the accelerometer and gyroscope sensor for quadrotor navigation system, bias compensation, and Zero Velocity Compensation (ZVC). Kalman Filter is designed to reduce the noise on the sensor while bias compensation and ZVC are designed to eliminate the bias and drift error in the sensor data. Test results showed the Kalman Filter design is acceptable to reduce the noise in the sensor data. Moreover, the bias compensation and ZVC can reduce the drift error due to integration process as well as improve the position estimation accuracy of the quadrotor. At the time of testing, the system provided the accuracy above 90 % when it tested indoor.

Copyrights © 2017






Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...