In the paper the implementation process of commercial flight and navigational controller in own aircraft is shown. The process of autopilot integration were performed for the fixed-wing type of unmanned aerial vehicle designed in high-wing and pull configuration of the drive. The above equipment were integrated and proper software control algorithms were chosen. The correctness of chosen hardware and software solution were verified in ground tests and experimental flights. The PID controllers for longitude and latitude controller channels were selected. The proper deflections of control surfaces and stabilization of roll, pitch and yaw angles were tested. In the next stage operation of telecommunication link and flight stabilization were verified. In the last part of investigations the preliminary control gains and configuration parameters for roll angle control loop were chosen. This enable better behavior of UAV during turns. Also it affected other modes of flight such as loiter (circle around designated point) and auto mode where the plane executed a pre-programmed mission.
REFERENCES(20)
1.
Ambroziak, L., Gosiewski, Z. (2015), Two stage switching control for autonomous formation flight of unmanned aerial vehicles, Aerospace Science and Technology, 46, 221-226.
Crespo G., Glez-de-Rivera G., Garrido J., Ponticelli R.(2014): “Setup of a communication and control systems of a quadrotor type Unmanned Aerial Vehicle”, Proceedings of Conference on Design of Circuits and Integrated Circuits (DCIS), Madrid, Spain, 1-6.
Erdos D., Erdos A., Watkins S.E. (2013), An experimental UAV system for search and rescue challenge, Aerospace and Electronic Systems Magazine, 28, 32-37.
HaiYang C., YongCan C., YangQuan C. (2010), Autopilots for small unmanned aerial vehicles: A survey, International Journal of Control, Automation and Systems, 8(1), 36-44.
Kondratiuk M., Gosiewski Z. (2013), Simulation model of an electromagnetic multi-coil launcher for micro aerial vehicles, Solid State Phenomena: Mechatronic Systems and Materials IV, 406-411.
Koslosky E., Wehrmeister M.A., Fabro J.A., Oliveira A.S. (2015), On Using Fuzzy Logic to Control a Simulated Hexacopter Carrying an Attached Pendulum, 2015 Latin America Congress on Computational Intelligence (LA-CCI), 1-6.
Kownacki C. (2015), Design of an adaptive Kalman filter to eliminate measurement faults of a laser rangefinder used in the UAV system, Aerospace Science and Technology, 41, 81-89.
Kownacki C., Ołdziej D. (2016), Fixed-wing UAVs Flock Control through Cohesion and Repulsion Behaviours Combined with a Leadership, International Journal of Advanced Robotic Systems, 13, 1-10.
Mahony R., Kumar V., Corke P. (2012), Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor”, IEEE Robotics & Automation Magazine, 19(3), 20-32.
Mystkowski A. (2014), Implementation and investigation of a robust control algorithm for an unmanned micro-aerial vehicle, Robotics and Autonomous Systems, 62, 1187-1196.
Orifianto O., Farhood M. (2015), Development and Modeling of a Low-Cost Unmanned Aerial Vehicle Research Platform, Journal of Intelligent & Robotic Systems, 80(1), 139-164.
Walendziuk W., Sawicki A., Idźkowski A. (2015), Estimation of the object orientation and location with the use of MEMS sensors, SPIE Proceedings, 9662, 1-6.
Wang D., Xu J., Yao R. (2006), Simulation system of telemetering and telecontrol for unmanned aerial vehicle, Aerospace and Electronic Systems Magazine, 21, 3-5.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.