Attitude optimization of unmanned helicopters based on spike neural membrane computing

Jiachang Xu; Dongliang Yu; Ding Hong; Jia Guo; Lin Jiang; TaoJing Zhou

doi:10.1117/12.3008691

27 October 2023 Attitude optimization of unmanned helicopters based on spike neural membrane computing

Jiachang Xu, Dongliang Yu, Ding Hong, Jia Guo, Lin Jiang, TaoJing Zhou

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 129222K (2023) https://doi.org/10.1117/12.3008691
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

The effectiveness of inspection tasks performed by unmanned helicopters during underground inspections is directly influenced by the performance of attitude control. Therefore, it is crucial to optimize the attitude control of unmanned helicopters. Spike neural membrane computing offers Turing computing versatility and high efficiency in various time collaborations. This paper presents a study on attitude optimization control of unmanned helicopters in underground coal mines using spike neural network computing. The approach involves constructing an extended spike neural membrane system based on the attitude dynamics model of an unmanned helicopter, with the aim of further optimizing the system and algorithm. The experimental results demonstrate that the optimized spike neural membrane system is capable of effectively achieving attitude control of the unmanned helicopter under normal conditions. Furthermore, it can successfully maintain the attitude angle within the desired range, even in the presence of wind interference. Additionally, a comparison with traditional sliding mode control and the Designed Optimization Model (OSNMS) reveals that the OSNMS proposed in this paper significantly enhances the attitude control performance of unmanned helicopters.

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

Citation Download Citation

Jiachang Xu, Dongliang Yu, Ding Hong, Jia Guo, Lin Jiang, and TaoJing Zhou "Attitude optimization of unmanned helicopters based on spike neural membrane computing", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 129222K (27 October 2023); https://doi.org/10.1117/12.3008691

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KEYWORDS

Neurons

Matrices

Neural networks

Control systems

Mathematical optimization

Unmanned aerial vehicles

Mining

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