TY - JOUR
T1 - Development of control algorithm for a quadcopter
AU - Tagay, Adilet
AU - Omar, Abylkaiyr
AU - Ali, Md Hazrat
N1 - Publisher Copyright:
© 2021 Elsevier B.V.. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - Nowadays, drones are popular with their multipurpose functioning. They can be applied in different environments, especially those that are harmful and can cause health hazards to the human being. However, drones are expensive, have limitations in the lifting capabilities, difficult in control, and auto-balancing. This paper focuses on deriving a mathematical model of the quadcopter with its characteristic properties to solve the auto-balancing problem. The research determines the mathematical model of the unmanned aerial vehicles (UAV) and then incorporates characteristic values of the constructed model (Ixx, tthrustand etc.) to the general model. The derived equation is used in identifying the controlling parameters of the quadcopter. The key focus of this research is to develop a cost-effective, self-stabilizing, and robust control system using affordable components. A gyroscope MPU6050, a transmitter, and a receiver (with at least 4 inputs) were integrated with microcontrollers to develop the system.
AB - Nowadays, drones are popular with their multipurpose functioning. They can be applied in different environments, especially those that are harmful and can cause health hazards to the human being. However, drones are expensive, have limitations in the lifting capabilities, difficult in control, and auto-balancing. This paper focuses on deriving a mathematical model of the quadcopter with its characteristic properties to solve the auto-balancing problem. The research determines the mathematical model of the unmanned aerial vehicles (UAV) and then incorporates characteristic values of the constructed model (Ixx, tthrustand etc.) to the general model. The derived equation is used in identifying the controlling parameters of the quadcopter. The key focus of this research is to develop a cost-effective, self-stabilizing, and robust control system using affordable components. A gyroscope MPU6050, a transmitter, and a receiver (with at least 4 inputs) were integrated with microcontrollers to develop the system.
KW - drone
KW - quadcopter
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=85101769091&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85101769091&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2021.01.003
DO - 10.1016/j.procs.2021.01.003
M3 - Conference article
AN - SCOPUS:85101769091
SN - 1877-0509
VL - 179
SP - 242
EP - 251
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 5th International Conference on Computer Science and Computational Intelligence, ICCSCI 2020
Y2 - 19 November 2020 through 20 November 2020
ER -
