水面无人艇的模糊建模方法研究

Research on fuzzy modeling method for unmanned surface vehicle

近年来,水面无人艇技术发展迅速,在军事侦察、武装保护等方面发挥显著作用,已成为水面反恐的重要方式之一。然而,水面无人艇航行在线性度、耦合性上存在较大的缺陷,高精度控制方式实现复杂。为实现水面无人艇航行的高精度、高准确度控制,本文将神经网络和模糊技术相结合,提出一种基于神经网络的模糊建模方法,对系统模型进行仿真可知,水面无人艇的模糊建模方法有效,且能够实现对无人艇航行的精确控制,具有进一步推广应用的潜力。

In recent years, the technology of unmanned surface vehicle is developing rapidly, and it plays an important role in military investigation, armed protection and so on. However, there are some defects in the performance and coupling of unmanned surface vehicles, and the high precision control method is complex. To achieve high precision, high accuracy control of USV navigation, this paper will combine the neural network and fuzzy technology together, and then puts forward a fuzzy modeling method based on neural network. The simulation result of the model shows that the fuzzy modeling method of USV is effective and achieves precise control of unmanned surface vehicle, and the method has further popularization and application potential.