基于改进随机共振系统的AUV弱推力故障特征增强

Feng Yao, Chenguang Zhu, Mingjun Zhang
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引用次数: 0

摘要

水下航行器弱推力器故障特征较弱,其强度接近外部扰动。区分断层特征和外界干扰有很大的困难。本文研究了一种增强故障特征和抑制外部干扰的方法。典型的基于随机共振的故障特征增强方法对水下航行器弱推力故障的处理效果不理想,采用人工鱼群算法对随机共振参数进行优化。在此过程中,提出了一种新的优化评价指标,并利用两种评价指标对随机共振系统的结构参数进行了同步优化。利用海狸- ii水下航行器的实验数据,验证了本文提出的故障特征增强方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault Feature Enhancement for AUV With Weak Thruster Fault Based on Improved Stochastic Resonance System
Fault features are weak and their strength is close to external disturbances for weak thruster fault in an AUV. There are great difficulties to distinguish fault features and external disturbances. This paper investigates a method to enhance fault features and suppress external disturbances. The typical stochastic resonance based fault feature enhancement method has not achieved satisfactory performance for weak thruster fault in an AUV, artificial fish swarm algorithm is applied to optimize the parameters of the stochastic resonance. In this process, a new optimization evaluation index is developed, and the structural parameters of the stochastic resonance system are optimized simultaneously with two evaluation indexes. Experiment data from Beaver-II AUV are used to demonstrate the performance of the fault feature enhancement method developed in this paper.
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