Abstract
In order to further reduce the nonlinearity of the parafoil system and the effect of environmental disturbance on its trajectory tracking control. On the basis of linear active disturbance rejection control (LADRC), using the self-learning ability of neural network, a single neuron is used to construct adaptive parameters, so that parameters can be adjusted accordingly based on the change of system errors, so as to achieve on-line self-tuning of parameters. The simulation results of track tracking by parafoil show that the effect of external interference can be effectively overcome and high precision tracking control can be realized. Compared with the traditional LADRC, the anti-interference ability and robustness are obviously improved.
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J. Xiong, Research on the Dynamics and Homing Project of Parafoil System (National University of Defense Technology, Changsha, 2005)
Y. Li, Z. Chen, Q. Sun, Flight path tracking of a parafoil system based on the switching between fuzzy control and predictive control. CAAI Trans. Intell. Syst. 7(6), 481–488 (2012)
S.C. Benjamin, Adaptive control of a 10 K parafoil system, in 23rd AIAA Aerodynamic Decelerator Systems Technology Conference, Daytona Beach, FL (2015), pp. 1–27
J. Tao, LADRC based trajectory tracking control for a parafoil system. J. Harbin Eng. Univ. 38(3), 1–7 (2018)
Z. Gao, Scaling and bandwidth-parameterization based controller tuning, in Proceedings of the American Control Conference, Denver, Colorado (2003), pp. 4989–4996
Z. Zhang, H. Yang, Y. Jiang, Active disturbance rejection controller based on mono neuron. J. Southeast Univ. 36(I), 132–1134 (2006)
E. Zhu, Q. Sun, P. Tan et al., Modeling of powered parafoil based on Kirchhoff motion equation. Nonlinear Dyn. 79(1), 617–629 (2015)
P. Tan, Q. Sun, Z. Chen, Application of active disturbance rejection control in trajectory tracking of powered parafoil system. J. Zhejiang Univ. 51(5), 992–999 (2017)
Y. Han, C. Yang, H. Xiao et al., Review on key technology and development of parafoil precise airdrop systems. Ordnance Ind. Autom. 31(7), 1–7 (2012)
L. Jiao, Research on Autonomous Homing Based on Parafoil and Air-Dropped Robot System (Nankai University, Tianjin, 2011)
Y. Li, Z. Chen, Z. Liu, Attitude control of a quad-rotor robot based on ADRC. J. Harbin Inst. Technol. 46(3), 115–119 (2014)
X. Wang, H. Xiehe, An improved control strategy of single neuron PID. J. Zhejiang Univ. 45(8), 1498–1501 (2011)
Acknowledgements
This work is supported by National Natural Science Foundation of China under Grant (61273138, 61573197), National Key Technology R&D Program under Grant (2015BAK06B04).
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Jia, H., Sun, Q., Chen, Z. (2019). Application of Single Neuron LADRC in Trajectory Tracking Control of Parafoil System. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2018 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 528. Springer, Singapore. https://doi.org/10.1007/978-981-13-2288-4_4
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DOI: https://doi.org/10.1007/978-981-13-2288-4_4
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