Chaotic Particle Swarm Optimisation Algorithm Based Quadrotor Control
Unmanned aerial vehicles are currently used for civil and military purposes. To illustrate such vehicles are quadrotor aircrafts which are underactuated systems. Quadrotors have huge nonlinearities compare to conventional aerial vehicles due to not being scheme based on uncertainty environments. For this reason, Chaotic Particle Swarm Algorithm can be employed in order to overcome and regulate this issue. In this study, a nonlinear system model of the IRIS+ Quadrotor is used and the classical PID is designed by means of CPSO algorithm. The Chaotic Particle Swarm Algorithm is used in order to emerge stable reference model for robust adaptive control the experimental testbed. Additionally, the proposed algorithm is applicable for scheme-based techniques.
Copyright (c) 2021 Journal of Aeronautics and Space Technologies
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The manuscript with title and authors is being submitted for publication in Journal of Aeronautics and Space Technologies. This article or a major portion of it was not published, not accepted and not submitted for publication elsewhere. If accepted for publication, I hereby grant the unlimited and all copyright privileges to Journal of Aeronautics and Space Technologies.
I declare that I am the responsible writer on behalf of all authors.