Design of Controllers to Track Trajectories for Multi-rotor Unmanned Aerial Vehicles

被引:0
作者
Alvarez-Valle, Robinson S. [1 ]
Rivadeneira, Pablo S. [1 ]
机构
[1] Univ Nacl Colombia Sede Medellin, Fac Minas, Medellin, Colombia
来源
2019 IEEE 4TH COLOMBIAN CONFERENCE ON AUTOMATIC CONTROL (CCAC): AUTOMATIC CONTROL AS KEY SUPPORT OF INDUSTRIAL PRODUCTIVITY | 2019年
关键词
Cascade control; feedback control; PID; quadcopter; multi-rotor unmanned aerial vehicle;
D O I
10.1109/ccac.2019.8921246
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the synthesis of controllers for a multi-rotor unmanned aerial vehicle with the goal to track trajectories, transforming its MIMO system representation into simpler structures based on SISO systems. Three control structures are provided to control the four outputs: x, y, z positions and the yaw angle. All the structures are based on decoupled control loops for each output described above. The first structure consists of classical controls, where the first two loops (x and y positions) use a third order transfer function control while the last two (z position and yaw angle) a PID/PD control. The second one uses for the first two loops a cascade control strategy based on a PD controllers. The third structure uses cascade control strategies with a PID-PID-PD-P control combination for the first two loops, while a PD -P combination for the last two. The control performance of each structure is assessed through simulation following changes of set points and a square trajectory. For a 1 [m] step change in x or y position, the system response has a setting time of around 5.7 [s], 4.7 [s], and 1.9 [s], with an overshoot of approximately 75.3%, 40.3% and 0.3% for each structure, respectively. For a 1 [m] change in z position, the setting time is 6.4 [s] and the overshoot is 24.9% for the first two structures. While for the last one, the setting time is 2.7 [s] without overshoot. Similar results are achieved for changes in the yaw angle. Finally, disturbances are included to test the robustness of the control strategies. Based on these results, the conclusion is that the third structure has the best performance.
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页数:6
相关论文
共 10 条
  • [1] Bemporad A., 2009, IFACProc, V42, P14
  • [2] Chen X, 2013, 2013 3RD AUSTRALIAN CONTROL CONFERENCE (AUCC), P354, DOI 10.1109/AUCC.2013.6697298
  • [3] Dorf RC, 2011, Modern control systems
  • [4] Goodwin G. C., 2012, CONTROL SYSTEM DESIG
  • [5] Robust Tracking Control of an Underactuated Quadrotor Aerial-Robot Based on a Parametric Uncertain Model
    Lee, DongBin
    Burg, Timothy C.
    Dawson, Darren M.
    Shu, Dule
    Xian, Bin
    Tatlicioglu, Enver
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, 2009, : 3187 - +
  • [6] Rico R., 2015, ACT 36 JORN AUT COM, P973
  • [7] Sabatino F., 2015, M.S. thesis
  • [8] Experimental study on cascaded attitude angle control of a multi-rotor unmanned aerial vehicle with the simple internal model control method
    Song, Jun-Beom
    Byun, Young-Seop
    Jeong, Jin-Seok
    Kim, Jeong
    Kang, Beom-Soo
    [J]. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2016, 30 (11) : 5167 - 5182
  • [9] Vianna Junior J.C., 2013, Brazilian J. Instrum. Control, V1, P15
  • [10] Wang P., 2017, P INT C ADV MECH SYS, P498