Advanced Fault Identification for Safety Critical Electromechanical Actuators

安全关键型机电执行器的高级故障识别

• 批准号: EP/H00419X/1
• 负责人: Mark Sumner
• 金额: $ 44.53万
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FH00419X%2F1
• 关键词: Advanced; Fault; Identification; Safety; Critical

With the increasing move to more electric systems in aircraft, ships and automobiles, there is a need to ensure that electromechanical actuators are designed to satisfy the conflicting specifications of low cost, low volume/weight, high performance and requiring little maintenance. The conclusion of the more for less design philosophy is that power electronic motor drives will be work harder, in harsher environments, for longer periods of time. Scheduled maintenance periods will be longer, and therefore it is imperative that drives, especially those used for safety critical applications will employ prognosis and diagnosis algorithms as part of their basic control structure, to predict and prevent in-service failure. The work proposed here will investigate the production of new signatures for indicating the condition of a motor drive and its load, and also determine how these signatures can be used to determine the type and severity of a fault. The aim is to embed the condition monitoring into the normal operation of an electromechanical actuator, in order to detect and distinguish between faults in the electrical machine, the power converter and the mechanical system.

随着越来越多的飞机、船舶和汽车使用更多的电气系统，需要确保机电执行器的设计能够满足低成本、低体积/重量、高性能和少维护的相互冲突的要求。以少换多的设计理念的结论是，电力电子电机驱动器将在更恶劣的环境中工作更长时间。计划的维护期将更长，因此驱动器，特别是用于安全关键应用的驱动器将使用预测和诊断算法作为其基本控制结构的一部分，以预测和防止使用中的故障，这是当务之急。这里提出的工作将调查新签名的产生，以指示电机驱动器的状况及其负载，并确定如何使用这些签名来确定故障的类型和严重程度。其目的是将状态监测嵌入到机电执行器的正常运行中，以检测和区分电机、功率转换器和机械系统的故障。

项目成果

A novel current derivative measurement using recursive least square algorithms for sensorless control of permanent magnet synchronous machine

使用递归最小二乘算法进行新型电流导数测量，用于永磁同步电机的无传感器控制

• DOI: 10.1109/ipemc.2012.6259005
• 发表时间: 2012
• 作者: Yu Duan

Condition Monitoring for AC Motor Drives Using Saliency Tracking Methods

使用显着性跟踪方法对交流电机驱动器进行状态监测

• 期刊: The NEWSLETTER
• 作者: Mark Sumner (Author)

Detection of inter-coil short circuits in the stator winding of a PM machine by using saliency tracking schemes

使用凸极跟踪方案检测永磁电机定子绕组中的线圈间短路

• DOI: 10.1109/ecce.2011.6064104
• 发表时间: 2011
• 作者: Arellano-Padilla J

Inductance characteristics of PMSMs and their impact on saliency-based sensorless control

• DOI: 10.1109/epepemc.2010.5606781
• 发表时间: 2010-10
• 期刊: Proceedings of 14th International Power Electronics and Motion Control Conference EPE-PEMC 2010
• 作者: J. Arellano-Padilla;C. Gerada;G. Asher;M. Sumner

Real-time fault diagnostics for a permanent magnet synchronous motor drive for aerospace applications

航空航天应用永磁同步电机驱动器的实时故障诊断

• DOI: 10.1109/ecce.2010.5618381
• 发表时间: 2010
• 作者: Odavic M