Adaptive fuzzy-PID controller for quad-rotor MAV with mass changes

Goh, Ming Qian and Pebrianti, Dwi and Luhur, Bayuaji and Rosdiyana, Samad and Mahfuzah, Mustafa and Mohammad, Syafrullah (2018) Adaptive fuzzy-PID controller for quad-rotor MAV with mass changes. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 257-269. ISBN 978-981-13-3708-6

46.1 Adaptive fuzzy-PID controller for quad-rotor.pdf

Download (118kB) | Preview
[img] Pdf
41. Adaptive Fuzzy-PID controller for quad-rotor MAV with mass changes.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
41.1 Adaptive Fuzzy-PID controller for quad-rotor MAV with mass changes.pdf

Download (331kB) | Preview


Micro Aerial Vehicle (MAV) has become famous to be used in agri-cultural application such as for spraying operation, for watering plantation or spraying the pesticide, 2-D flow visualization image to measure the droplet dis-tribution and so on. Due to the need to sustain food for all human population, there is need for development of effective spraying to increase the productivity. In crop spraying, the payload changes against time is the big challenge on the development of MAV. This is because the payload change problem could affect the altitude which is the position along z-axis of the MAV. In this research, a quad-rotor MAV is used as the platform. Then, an adaptive Fuzzy-PID control-ler for the altitude control by considering payload change is presented. The per-formance of altitude control by using adaptive Fuzzy-PID controller and PID controller are validated in this research study through simulation. The adaptive Fuzzy-PID controller is successfully designed for the changing of payload. The result shows the performance of adaptive Fuzzy-PID controller is better than PID controller on quad-rotor MAV control considering payload changes.

Item Type: Book Chapter
Additional Information: Indexed by Springer
Uncontrolled Keywords: Adaptive Fuzzy-PID controller; Quad-rotor MAV; Payload Change
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 24 Dec 2018 02:00
Last Modified: 21 May 2019 07:30
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item