间隙度量模式下的闭环系统故障诊断实现 余

Fault diagnosis implementation for closed-loop systems in gap metric mode

中文关键词  间隙度量  闭环系统  故障诊断  故障检测  故障分级分类

英文关键词  gap metric  closed-loop systems  fault diagnosis  fault detection  gradation and classification of fault

中文摘要

      现有基于解析模型的故障诊断方法, 大都是在欧氏距离下的残差度量, 难以有效解决闭环系统的故障诊断. 本文从鲁棒控制理论中的系统间隙度量这一新的视角出发, 利用其特别适合于闭环性能度量这一根本特性, 采用互质分解技术建立包含不确定性和扰动的系统数学模型; 基于间隙度量技术, 给出故障检测和故障分级分类方法; 最后在现役飞机、电动汽车和工业伺服驱动等领域广泛采用的电机双闭环系统中, 通过与传统方法对比, 在数值实验中验证本方法的有效性.

英文摘要

      Most of the existing fault diagnosis methods based on analytical models are residual metrics at Euclidean distances, which is difficult to effectively solve the fault diagnosis of closed-loop systems. This paper takes a new perspective on the gap metric of the system in robust control theory. Take advantage of the fundamental characteristic that makes it particularly suitable for closed-loop performance metrics. A mathematical model of the system with uncertainties and perturbations is developed using the coprime decomposition technique. Fault detection and gradation and classification of fault based on the gap metric technique. Finally, the closed-loop system of motors is widely used in the field of in-service aircraft, electric vehicles and industrial servo drives. The validity of this method is verified in numerical experiments by comparison with traditional methods.