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Application of Single Neuron LADRC in Trajectory Tracking Control of Parafoil System

  • Hongchen Jia
  • Qinglin Sun
  • Zengqiang Chen
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 528)

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.

Keywords

Parafoil system Trajectory tracking Liner active disturbance rejection control Single neuron Parameter self-tuning 

Notes

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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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.College of Computer and Control EngineeringNankai UniversityTianjinChina

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