Research on fixed altitude prediction of tethered balloon based on PSO optimized BP algorithm

Bingyi Shi; Zhaorui Wang; Hang Gong

doi:10.1117/12.3007121

25 October 2023 Research on fixed altitude prediction of tethered balloon based on PSO optimized BP algorithm

Bingyi Shi, Zhaorui Wang, Hang Gong

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 128015Q (2023) https://doi.org/10.1117/12.3007121
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

The high altitude operation of retaining balloon is greatly affected by the wind, and cannot maintain the constant height. Therefore, the constant height control and prediction of winch retaining balloon is studied. Using ANSYS software to establish retaining cable model, set the cable material elastic modulus and other related parameters, add gravity, wind and retaining balloon buoyancy, get the cable transverse (X) displacement and height displacement changes with the wind level, and design particle swarm optimization improved BP neural network time series algorithm to predict the balloon height to optimize the control. The simulation results show that particle swarm (PSO) optimizes BP neural network.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bingyi Shi, Zhaorui Wang, and Hang Gong "Research on fixed altitude prediction of tethered balloon based on PSO optimized BP algorithm", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 128015Q (25 October 2023); https://doi.org/10.1117/12.3007121

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