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Title : Optimizing control based on ant colony logic for Quadrotor stabilization
Author :

Dr. Tri Kuntoro Priyambodo, M.Sc. (1) Dr. Agfianto Eko Putra, M.Si. (2) Dr. Andi Dharmawan, S.Si., M.Cs. (3)

Date : 0 2016
Keyword : ACO, hovering, UAV ACO, hovering, UAV
Abstract : Quadrotor as one type of UAV (Unmanned Aerial Vehicle) have the ability to perform Vertical Take Off and Landing (VTOL). It allows the Quadrotor to be stationary hovering in the air. PID (Proportional Integral Derivative) control system is one of the control methods that are commonly used. It is usually used to optimize the Quadrotor stabilization at least based on the three Eulerian angles (roll, pitch, and yaw) as input parameters for the control system. The three constants of PID can be obtained in various ways or methods. However, to produce a robust control, we need a method that can optimize the PID components. Ant Colony Optimization (ACO) is one of PID controller optimization method which adapted by ant colony ability to find the shortest way from their nest to food. Some ACO parameters are number of ants, parameters, and pheromone constant for pheromone. Pheromones are the values given by the ants when they use the road
Group of Knowledge : Teknik Elektronika
Level : Internasional
Status :
Published
Document
No Title Document Type Action
1 ICARES-2015-07429814.pdf
Document Type : Seminar Sampul Prosiding
Seminar Sampul Prosiding View
2 Cek Similaritas - Optimizing Control based on Ant Colony Logic for Quadrotor Stabilization.pdf
Document Type : Cek Similarity
Cek Similarity View
3 Optimizing control based on ant colony logic for Quadrotor stabilization (1).pdf
Document Type : [PAK] Full Dokumen
[PAK] Full Dokumen View