Abstract
To solve the problem of aggressive flight control, this paper designs the trajectory tracking controller and collision avoidance strategy for quadrotor. Firstly, a six degree of freedom model of quadrotor is established, and quaternion is used to represent the attitude error of a quadrotor, which is used to design the aggressive trajectory tracking controller. Secondly, the collision avoidance method based on artificial potential field is designed. The quadrotor can track the predetermined trajectory while avoiding high-speed moving obstacles under the control of virtual force. Finally, the simulation experiment of aggressive collision avoidance in typical environment is completed. Using the proposed method, the deviation from the desired position is half of the traditional method, and the safety distance from the moving obstacles is 1.5 times of traditional method while avoiding high-speed moving obstacles.
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References
Liu, Z.C., Tang, S.J., Li, M.T., Wang, X., Guo, J.: Research on optimal control allocation of fixed-wing VTOL UAVs in transition maneuver. Acta Armamentarii 40(2), 314–325 (2019)
Faessler, M., Fontana, F., Forster, C., Scaramuzza, D.: Automatic re-initialization and failure recovery for aggressive flight with a monocular vision-based quadrotor. In: 2015 IEEE International Conference on Robotics and Automation. ICRA, pp. 1722–1729. IEEE, New York (2015)
Lv, J.Q.: Research on wind resistance control technology of quadrotor unmanned aerial vehicle. Master, Harbin Institute of Technology (2019)
Liu, H., Li, D.J., Zuo, Z.Y.: Robust three-loop trajectory tracking control for quadrotors with multiple uncertainties. IEEE Trans. Industr. Electron. 63(4), 2263–2274 (2016)
Liang, C., Liu, X.X., Zhang, X.W., Huang, J.X.: Design of control law for quadrotor UAV based on reinforcement learning. Computer Measurement Control 29(2), 71–75 (2021)
Meng, Z.J., **, X.S., Chen, X.Z.: 3D obstacle avoidance method and simulation for unmanned helicopter. J.of Bei**g Univ. Aeronautics Astronautics 42(8), 1619–1626 (2016)
Liu, Y.B., Li, S.L., He, J.H., Ao, H.Y.: Real-time obstacle avoidance method based on pigeon-inspired optimization. J. Bei**g Univ. Aeronautics Astronautics 47(2), 359–365 (2021)
Li, C.: Nonlinear Flight Control of Quadrotor UAVs: Research and IMPLEMentation. Zhejiang University, Doctor (2017)
Wang, T., Wang, L., Liang, J., Chen, Y.: Autonomous control and trajectory tracking of quadrotor helicopter. In: 2012 IEEE International Conference on Computer Science and Automation Engineering. CSAE, pp. 251–255. IEEE, New York (2012)
Mayhew, C., Sanfelice, R., Teel, A.: Quaternion-based hybrid control for robust global attitude tracking. IEEE Trans. Autom. Control 56(11), 2555–2566 (2011)
Faessler, M., Falanga, D., Scaramuzza, D.: Thrust mixing, saturation, and body-rate control for accurate aggressive quadrotor flight. IEEE Robotics and Automation Letters 2(2), 476–482 (2017)
Falanga, D., Kleber, K., Scaramuzza. D.: Dynamic obstacle avoidance for quadrotors with event cameras. Science Robotics 5(40), eaaz9712 (2020)
Glover, A., Bartolozzi, C.: Event-driven ball detection and gaze fixation in clutter. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, pp. 2203–2208. IEEE, Daejeon (2016)
Falanga, D., Kim, S., Scaramuzza. D.: How fast is too fast? the role of perception latency in high-speed sense and avoid. IEEE Robotics and Automation Letters 4(2), 1884–1891 (2019)
Qin, T., Li, P.L., Shen, S.J.: VINS-Mono: a robust and versatile monocular visual-inertial state estimator. IEEE Trans. Rob. 34(4), 1004–1020 (2018)
Zhao, J., Chen, Z.K., Zhang, R.C.: Multi-rotor aircraft control based on cascade PID for precisely hovering over fixed point. Electron. Opt. Control. 28(8), 17–30 (2021)
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Zhao, J., Cao, C., Cai, Z., Wang, Y. (2023). Aggressive Collision Avoidance and Control Method for Quadrotor. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_13
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DOI: https://doi.org/10.1007/978-981-19-6613-2_13
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