Intelligent control method for flanking flight of unmanned aerial vehicles

被引：0
作者：
Wang R. [1 ]
Yu X.-L. [1 ]
Wu N.-C. [1 ]
机构：
[1] School of Mech. Engg, Liaoning Shihua University, Fushun
来源：
International Journal of Vehicle Structures and Systems | 2020年 / 11卷 / 04期
关键词：
Flanking flight; Intelligent control; Particle swarm optimisation; PID control; Unmanned air vehicle;
D O I：
10.4273/ijvss.11.4.02
中图分类号：
学科分类号：
摘要：
The angle control during the flight of UAV is the most important factor which affects its stability and safety. Since the traditional PID control method is difficult to automatically adjust the control parameters, a particle swarm optimization algorithm based on traditional PID control (PSO-PID), is proposed to construct a mathematical model of the flanking flight of the UAV. Based on the full analysis of the PID control principle, the UAV’s flanking flight controller based on PID control is constructed. The particle swarm optimization algorithm is introduced to optimize the PID parameters. The simulation model is built in MATLAB to investigate the position and altitude angle change of the UAV’s flank and compare it with the traditional PID control method. The experimental results show that the PSO-PID control strategy has a good control effect, which enables UAV’s flanking flight to reach the specified position more quickly and accurately than traditional PID controller alone. © 2019 MechAero Foundation for Technical Research & Education Excellence.
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页码：355 / 361
页数：6
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共 14 条
  • [1] Zeng Y., Guo H., An Euler Angle Calculation Method for Tailsitter UAV, (2018)
  • [2] Yuksek B., Vuruskan A., Ozdemir U., Yukselen M.A., Inalhan G., Transition flight modeling of a fixed-wing VTOL UAV, J. Intelligent & Robotic Syst., 84, 1, pp. 83-105, (2016)
  • [3] Lee S.J., Kim H.J., Autonomous swing-angle estimation for stable slung-load flight of multi-rotor UAVs, Int. Conf. Robotics and Automation., pp. 4576-4581, (2017)
  • [4] Jain S., Kamali C., Reconstruction of Aerodynamic Angles from Flight Data for "Slybird" Unmanned Aerial Vehicle (UAV), Indian Control Conf., (2016)
  • [5] Chipade V.S., Abhishek M.K., Chaudhari R.R., Systematic design methodology for development and flight testing of a variable pitch quadrotor biplane VTOL UAV for payload delivery, Mechatronics, 55, pp. 94-114, (2018)
  • [6] Chao D., Bai H., Zeng J., Nonlinear Stabilization Control of Tilt Rotor UAV during Transition Flight Based on HOSVD, Guidance, Navigation & Control Conf, pp. 154-159, (2017)
  • [7] Jung W., Lim S., Lee D., Bang H., Unmanned aircraft vector field path following with arrival angle control, J. Intelligent and Robotic Systems, 84, 1-4, pp. 311-325, (2016)
  • [8] Ahmed S.F., Warsi F.A., Kadir K., Janin Z., Non-liner model predictive controller based incidence angle estimation and controlling of fixed wing UAV under noisy and delayed sensor’s feedback condition, Int. Conf. Smart Instr., Measurement and Applications, pp. 1-6, (2016)
  • [9] Wenz A., Johansen T.A., Cristofaro A., Combining model-free and model-based angle of attack estimation for small fixed-wing UAVs using a standard sensor suite, Int. Conf. Unmanned Aircraft Sys., pp. 624-632, (2016)
  • [10] Xiong J.J., Zhang G., Sliding mode control for a quadrotor UAV with parameter uncertainties, Int. Conf. Control, Automation and Robotics, pp. 207-212, (2016)
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