基于时变状态约束的二自由度直升机系统神经网络控制

2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) Pub Date : 2021-12-10 DOI:10.1109/ICCSS53909.2021.9722030

Tao Zou, H. Wu, Zhijia Zhao, Jianing Zhang

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引用次数: 0

摘要

针对具有时变状态约束的非线性二自由度直升机系统，提出了一种神经网络控制方法。通过构造时变势垒李雅普诺夫技术和基于逆推法设计的控制器，保证了系统的状态在预定区域内。采用神经网络对系统的未知函数进行逼近，保证了系统的跟踪性能和稳定性。最后，通过数值仿真验证了所提控制方法的有效性。

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Time-varying state constraints-based neural network control of a 2-DOF helicopter system

This paper proposes a neural network (NN) control method for a nonlinear 2-DOF helicopter system with time-varying state constraints. By constructing the time-varying barrier Lyapunov technology and the controller designed based on the backstepping method, the system’s states are guaranteed within a predetermined region. The NN is adopted to approximate the unknown function of the system to ensure its tracking performance and stability. Finally, the effectiveness of the derived control is validated by numerical simulation.

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来源期刊

2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)

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