Development of Fault Tolerant Electromechanical Systems via Field Reconstruction Method

通过现场重构方法开发容错机电系统

• 批准号: 0925679
• 负责人: Babak Fahimi
• 金额: $ 23.66万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0925679&HistoricalAwards=false
• 关键词: Development; Fault; Tolerant; Electromechanical; Systems

Development of Fault Tolerant Electromechanical Systems via Field Reconstruction Method The main objective of this research is to develop a new design methodology for fault tolerant and self-healing operation of electromechanical energy converters. Field reconstruction method will be used to develop just-in-time detection and optimal management of various electrical and mechanical faults which may occur within a multi-phase permanent magnet synchronous machine. Furthermore, a feasibility studies for inclusion of multi-physic and nonlinear magnetic problems in FRM technique will be conducted. An important educational objective of this research is to develop a web-based control system used in a long distance electric machinery laboratory. Field reconstruction method provides an analytical formulation for analysis of electromagnetic fields using which different disciplines of engineering such as signal processing, electromagnetic, and power electronic can effectively be employed to create optimal and efficient solution for adjustable speed motor drives. This formulation allows for the use of advanced optimization algorithms, pattern recognition techniques, and modern control techniques to be effectively integrated in the design of the magnetic configuration and power electronic-based control of the drive. Development of such formulations will pave the way for shortening the computational time by avoiding the redundant numerical procedures that are typically used in finite element methods. Successful implementation of efficient, fault tolerant, and intelligent electromechanical energy converters is a necessity in realization of smart grid systems. Reliable solutions for increasing the efficiency of wind generators, electric propulsion units in plug-in hybrid vehicles, and home appliances is an integral part of an energy conservation plan which can be reached through this research.

基于现场重构方法的机电容错系统研究本研究的主要目的是开发一种新的机电能量变换器容错自愈设计方法。现场重建方法将用于发展多相永磁同步电机中可能发生的各种电气和机械故障的及时检测和优化管理。此外，还将对FRM技术中包含多物理场和非线性磁问题的可行性进行研究。本研究的一个重要教育目标是开发一个基于网络的远程电机实验室控制系统。磁场重构方法为电磁场分析提供了一种分析公式，可以有效地利用信号处理、电磁学和电力电子等不同工程学科来创建最优和高效的可调速电机驱动解决方案。该配方允许使用先进的优化算法，模式识别技术和现代控制技术，有效地集成在磁力配置和基于电力电子的驱动器控制的设计中。这种公式的发展将为缩短计算时间铺平道路，避免了有限元方法中通常使用的冗余数值过程。高效、容错、智能的机电变换器是实现智能电网系统的必要条件。为提高风力发电机、插电式混合动力汽车的电力推进装置和家用电器的效率提供可靠的解决方案，是通过本研究可以实现的节能计划的一个组成部分。