GOALI: Intelligent Systems for Health Condition Prognostics in AC Permanent Magnet and Induction Machine Drives for Highly Efficient and Renewable Energy Utilization and Generation

智能优点目前，大多数电动驱动器都在变速驱动器中使用感应电机，以降低电能消耗。最新的混合动力汽车、直驱风力涡轮机发电机和超高效供暖和空调设备采用无刷永磁(BLPM)电机驱动，以实现更高的能源效率。这项技术的广泛普及需要对故障机理的深入了解，以开发故障预测和缓解方法以及稳健的容错设计。本项目将研究交流无刷直流电机和感应电机。这项研究的目标是：1.开发交流电机驱动的新故障诊断方法，2.发现预测交流电机驱动使用寿命的新的非线性估计方法，3.发现交流电机驱动的故障缓解技术，包括自适应控制算法和新的容错系统拓扑的组合。广泛的影响本研究的主要好处是开发高效交流电机驱动的故障预测和缓解技术，作为北美最大的电机制造商之一，该工业合作伙伴处于有利地位，通过其服务的大量原始设备制造商将其引入市场。大学和工业界之间的联系将通过包括互惠的长期工作访问和教师、学生和工程师的实习来加强。研究成果将纳入研究生和本科生课程。代表不足的群体将成为参与的目标。研究结果将通过专业期刊和会议向更广泛的工程界传播。

Intellectual MeritMost electric drives are currently employing induction machines in variable speed drives to reduce electric energy consumption. Latest hybrid vehicles, direct-drive wind turbine-generators and ultra-high efficiency heating and air-conditioning equipment employ brushless permanent magnet (BLPM) machine-drives for higher energy efficiency. Wider penetration of this technology requires an in-depth understanding of the fault mechanisms for developing fault prognostics and mitigation methods and robust fault tolerant designs.Both ac BLPM synchronous and induction machines, referred to as ac machines, will be studied in this project. The objectives of this research are:1. Develop novel fault diagnostic methods in ac machine-drives,2. Discover novel nonlinear-estimation methods for prognosis of the useful life of ac machine-drives,3. Discover techniques for fault mitigation in ac machine-drives to include a combination of adaptive control algorithms and novel fault-tolerant system topologies.Broader ImpactThe main benefits of this research are the development of fault prognostics and mitigation technologies for high efficiency ac machine-drives that the industrial partner, which is one of the largest electric machine manufacturers in North America, is well positioned to introduce into the market through a multitude of Original Equipment Manufacturers that it serves. The liaison between University and Industry will be enhanced by including reciprocal long term working visits and internships of faculty, students and engineers. The research results will be integrated into the graduate and undergraduate curricula. Under-represented groups will be targeted for participation. The results will be disseminated to the wider engineering community through professional journals and conferences.