CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Tri-copter Drone Modeling with PID Control Tuned by PSO Algorithm

by Nada M. Ali Ahmed, Muna Hadi Saleh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 25
Year of Publication: 2018
Authors: Nada M. Ali Ahmed, Muna Hadi Saleh
10.5120/ijca2018918060

Nada M. Ali Ahmed, Muna Hadi Saleh . Tri-copter Drone Modeling with PID Control Tuned by PSO Algorithm. International Journal of Computer Applications. 181, 25 ( Nov 2018), 46-52. DOI=10.5120/ijca2018918060

@article{ 10.5120/ijca2018918060,
author = { Nada M. Ali Ahmed, Muna Hadi Saleh },
title = { Tri-copter Drone Modeling with PID Control Tuned by PSO Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2018 },
volume = { 181 },
number = { 25 },
month = { Nov },
year = { 2018 },
issn = { 0975-8887 },
pages = { 46-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number25/30096-2018918060/ },
doi = { 10.5120/ijca2018918060 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:07:09.194021+05:30
%A Nada M. Ali Ahmed
%A Muna Hadi Saleh
%T Tri-copter Drone Modeling with PID Control Tuned by PSO Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 25
%P 46-52
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The tri-rotors1 are more recent kinds of drones, as compared with the mostly used quad-rotors1 because of the numerous special characteristics over the other types of multi-copters. Many technical features specialize tri-copters like small volume that is useful in slender places, light weight, extended battery existence, and agility in translation and turns. In this paper, (single tri-rotor) design is theorized and the nonlinear mathematical model is derived completely by Newton-Euler formula then the Proportional1-Integral1 and Derivative1 (PID) controller1 is utilized to control the rotational and translational equations1, six PID controllers are used for six Degrees of Freedom (DOF) equations of the model with the associated parameters are tuned by Particle1 Swarm1 Optimization1 (PSO) method to minimize the whole Integral1 Time1 Absolute1 Errors1 (ITAEs) for the tri-rotor model and the effects are gained by Simulink1 in MATLAB1. The results were satisfactory with the stability of the system and with little delay."

References
  1. B. H. Sababha, H. M. A. Zu’bi, and O. A. Rawashdeh, 2015. A rotor- Tilt-Free Tricopter UAV: Design, Modelling, and Stability Control, Int. J. Mechatronics Autom., Vol. 5, No. 2/3, pp. 107–113.
  2. O. Ayokunle, 2016. Simulation of a Tricopter UAV for Parcel Delivery with SimMechanics and SolidWorks3D, Researchgate.
  3. Z. Song, K. Li, Z. Cai, Y. Wang, and N. Liu, 2016. Modeling and Maneuvering Control for Tricopter Based on The Back-stepping Method, Proceedings of 2016 IEEE Chinese Guidance, Navigation and Control Conference, pp. 889–894.
  4. Ali, D. Wang, M. Aamir, and S. Masroor, 2017. Trajectory Tracking of a Tri-Rotor Aerial Vehicle Using
  5. an MRAC-Based Robust Hybrid Control Algorithm, Aerospace, Vol. 4, No. 3, pp. 1–17
  6. S. K. Sai and H. M. Tun, 2015. Modeling and Analysis of Tri-Copter ( VTOL ) Aircraft, Vol. 3, No. 6, pp. 54–62.
  7. D. Yoo, H. Oh, D. Won, and M. Tahk, 2010. Dynamic Modeling and Stabilization Techniques for Tri-Rotor Unmanned Aerial Vehicles, Int. J. Aeronaut. Sp. Sci., Vol. 11, No. 3, pp. 167–174.
  8. Singiresu S. Rao, 2009. Engineering Optimization: Theory and Practice.
  9. P Venkata Vishal, V. Natarajan, 2016. Control System Design for Tricopter using Filters and PID controller.
  10. A. B. Arega, 2016. Design of Super twisting Sliding Mode Controller for Hovering Stabilization of Tricopter UAV, M.Sc thesis, Addis Ababa University/Addis Ababa Institute of Technology.
  11. N. A. Selamat, N. A. Wahab, and S. Sahlan, 2013. Particle Swarm Optimization for Multivariable PID Controller Tuning, IEEE International Colloquium on Signal Processing and Its Applications. pp. 170–175.
  12. M. N. Alam, 2016. Particle Swarm Optimization : Algorithm and its Codes in MATLAB, pp. 1–10.
Index Terms

Computer Science
Information Sciences

Keywords

Tri-rotor Particle Swarm Optimization algorithm Integral Time Absolute Error Proportional-Integral-Derivative control Cost Function

Powered by PhDFocusTM