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.

随着飞机，船只和汽车中更多电动系统的增加，有必要确保机电执行器的设计旨在满足低成本，低量/重量，高性能，高性能以及几乎不需要维护的冲突规格。更少的设计理念的结论是，在更苛刻的环境中，电源电子电动机驱动器将在更长的时间内更加努力。预定的维护期将更长，因此，必须使用驱动器，尤其是用于安全关键应用程序的驱动器将采用预后和诊断算法作为其基本控制结构的一部分，以预测和预防服务中的失败。这里提出的工作将调查用于指示运动驱动状况及其负载状况的新签名的产生，还确定如何使用这些签名来确定故障的类型和严重性。目的是将条件监测嵌入机电执行器的正常操作中，以检测和区分电机，电源转换器和机械系统中的故障。

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

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

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