Controlling the movement of hexacopter along the intended route
Abstract views: 1 / PDF downloads: 1
Keywords:
Quaternion, Unmanned Aerial Vehicle, Faulty engine, HexacopterAbstract
The article examines the issue of controlling the movement of a hexacopter-type unmanned aerial vehicle along the intended route. The movement of the hexcopter is assumed as the movement of a solid body, gravity and aerodynamic drag forces are taken into account. It is assumed that the feedback data during control (accelerometer and gyroscope data) ise obtained from MPU6050 type sensors. MPU6050 type sensors do not measure orientation angles, but their rate of change, therefore, quaternions were used as orientation parameters in the mathematical model of hexocopter movement. In this article, the movement route is described as a trajectory consisting of straight sections, and an algorithm for calculating the base values of the control parameters is given, which ensures stable flight in each straight section of the trajectory , when all the engines of the hexocopter are working normally. During the study, the issue of ensuring straight-line movement of hexacopters when any of the hexacopter engines is faulty (out of order) was also considered, in this case, the optimal control parameters ensuring straight-line flight of the hexacopter were determined.
References
T.S. Alderete, Simulator aero model implementation, NASA Ames Research Center, Moffett Field, California, (1995)
E. Bekir, Introduction to Modern Navigation System, World Scientific, (2007).
M. Cefalo, J.M. Mirats-Tur, A comprehensive dynamic model for class-1 tensegrity systems based on quaternions,
International Journal of Solids and Structures, 48 (2011) 785–802.
K. Großekatthöfer, Z. Yoon, Introduction into quaternions for spacecraft attitude representation, TU Berlin. (2012).
D. Tzoumanikas, Q. Yan, S. Leutenegger, Nonlinear mpc with motor failure identification and recovery for safe and
aggressive multicopter flight, IEEE International Conference on Robotics and Automation (ICRA), (2020) 8538–8544.
Artale, Valeria, C. L. R. Milazzo,A. Ricciardello, Mathematical modeling of hexacopter, Applied mathematical sciences
, 97 (2013) 4805–4811.
Artale, Valeria, C. L. R. Milazzo,A. Ricciardello, PID controller applied to hexacopter flight, Journal of Intelligent and
Robotic Systems, 73(2014) 261–270.
B. Nisar, M. Kamel, R. Siegwart, Nmpc for multicopter’s trajectory tracking using modified rodrigues parameters,
IEEE Conference on Control Technology and Applications (CCTA), (2018) 683–689.
G. Nabadova, E. Sabziev, Mathematical Model of a Hexacopter-Type Unmanned Aerial Vehicle, International confer-
ence on problems of logistics, management and operation in the east-west transport corridor (2021) 134–8.
Rockafellar, R. Tyrrell, R. J. B. Wets, A Lagrangian finite generation technique for solving linear-quadratic problems
in stochastic programming, Stochastic Programming 84 (1986) 63–93.
H. Schaub, J.L. Junkins, Analytical Mechanics of Space Systems, American Institute of Aeronautics and Astronautics.
Inc. Reston, VA. (2003) 581.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Results in Nonlinear Analysis
This work is licensed under a Creative Commons Attribution 4.0 International License.