Mohd Arshad, Nor Hashim and Abdul Razak, Noorfadzli and Adnan, Ramli and Misnan, Mohamad Farid and M. Thamrin, Norashikin
(2014)
A self-contained real-time angle deviation detection and measurement technique for straight line quadrocopter navigation using accelerometer / Nor Hashim Mohd Arshad … [et al.].
In:
IIDEX 2014: invention, innovation & design exposition.
Research Innovation Business Unit, Shah Alam, Selangor, p. 12.
(Submitted)
Official URL: http://www.iidex.com.my
Abstract
Deviation from a planned path due to dynamic wind disturbances could defect a quadrocopter navigation accuracy and thus may result in poor execution of a task. Few researchers have proposed correction algorithms to be integrated in an autonomous quadrocopter navigation system to avert the problem. The algorithms are not practically applicable to allow a quadrocopter to navigate precisely on a planned trajectory around a small area with the presence of dynamic disturbances. This project proposes a new real-time adaptive trajectory correction algorithm for quadrocopter, which could specifically detect angle deviation through the use of accelerometer to allow for corrective action.
Metadata
Item Type: | Book Section |
---|---|
Creators: | Creators Email / ID Num. Mohd Arshad, Nor Hashim nhash2@gmail.com Abdul Razak, Noorfadzli UNSPECIFIED Adnan, Ramli UNSPECIFIED Misnan, Mohamad Farid UNSPECIFIED M. Thamrin, Norashikin UNSPECIFIED |
Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery > Robotics. Robots. Manipulators (Mechanism) > Control systems |
Divisions: | Universiti Teknologi MARA, Shah Alam > Research Management Centre (RMC) |
Event Title: | IIDEX 2014: invention, innovation & design exposition |
Event Dates: | 27 - 30 April 2014 |
Page Range: | p. 12 |
Keywords: | Quadrocopter navigation system; Real-time adaptive trajectory; Algorithms |
Date: | 2014 |
URI: | https://ir.uitm.edu.my/id/eprint/70122 |
Download
Text (Research book: abstract only)
70122.pdf
Download (1MB)
70122.pdf
Download (1MB)