MEMS Based Rotor Flux Sensing for Improved Operation of Electric Motors

基于 MEMS 的转子磁通传感可改善电动机的运行

• 批准号: 0601301
• 负责人: Roy McCann
• 金额: $ 23.99万
• 依托单位: University of Arkansas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-15 至 2010-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0601301&HistoricalAwards=false
• 关键词: MEMS; Based; Rotor; Flux; Sensing

MEMS Based Rotor Flux Sensing for Improved Operation of Electric Motors(Proposal No. ECS-0601301)PI: Roy McCannIncreased energy costs and concerns about climate change due to greenhouse gas emissions has led to increasing demands for improved efficiency and reduced weight in electrical machines for commercial, residential and industrial applications. To meet these requirements, motor control techniques have been developed that rely upon estimates of magnetic flux to optimize machine performance. However, these advanced methods use external measurements of current, voltage and rotor position to control electric motors and generators. This research will develop a fundamentally new method of designing and operating electric motors and generators by embedding magnetic field micro-electromechanical sensors (MEMS) in the rotor and stator elements.Intellectual Merit: The embedded MEMS devices will provide a direct measurement of flux levels used by advanced motor control algorithms for optimized motor and generator operation. This research includes the development of a MEMS device with wireless radio frequency communication suitable for operating inside rotating electrical machinery. Power for the sensors will be obtained from the ambient field variations present inside the electric machine. The research will focus on machine structures and sensor placement that provides sufficient accuracy in estimating the Maxwell stress tensor during machine operation. Beyond improvements during operation, the MEMS flux sensors will be sufficiently small to aid in the design and validation of electrical machinery by providing operational data at a level of detail not previously available with conventional magnetic instrumentation. A 25 kW prototype motor will be developed to confirm the theoretical work. Broader Impacts: This motor will be incorporated into the University of Arkansas solar boat entry of the ASME International Solar Splash collegiate competition. This provides undergraduate students with hands-on experience in advanced energy conversion technologies. This also demonstrates in a tangible manner to students the continuing innovation in electrical energy conversion technology.

基于MEMS的转子磁通传感技术用于改善电动机的运行（提案编号ECS-0601301）PI：Roy McCan由于温室气体排放而导致的能源成本增加和对气候变化的担忧导致对商业，住宅和工业应用中电机的效率提高和重量减轻的需求日益增加。为了满足这些要求，已经开发了依赖于磁通量的估计来优化机器性能的电机控制技术。然而，这些先进的方法使用电流、电压和转子位置的外部测量来控制电动机和发电机。这项研究将开发一种全新的方法，通过在转子和定子元件中嵌入磁场微机电传感器（MEMS）来设计和操作电动机和发电机。智能优势：嵌入式MEMS器件将提供先进的电动机控制算法所使用的磁通水平的直接测量，以优化电动机和发电机的操作。这项研究包括开发一种具有无线射频通信的MEMS器件，适用于旋转电机内部操作。传感器的功率将从电机内部存在的环境场变化获得。研究将集中在机器结构和传感器的位置，提供足够的精度，估计麦克斯韦应力张量在机器操作。除了在操作过程中的改进，MEMS通量传感器将足够小，以帮助设计和验证电机，通过提供操作数据的详细程度，以前没有与传统的磁性仪器。一个25千瓦的原型电机将被开发，以确认理论工作。更广泛的影响：该电机将被纳入阿肯色州大学参加ASME国际太阳能飞溅大学竞赛的太阳能船。这为本科生提供了先进的能源转换技术的实践经验。这也以有形的方式向学生展示了电能转换技术的持续创新。