STTR Phase I: Online Optimization for Induction Motor Efficiency

STTR 第一阶段：感应电机效率在线优化

• 批准号: 0712498
• 负责人: Brian Kuhn
• 金额: --
• 依托单位: SmartSpark Energy Systems, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0712498&HistoricalAwards=false
• 关键词: STTR; Phase; Online; Optimization; Induction

This Small Business Technology Transfer (STTR) Phase I research project will develop a new control method to automatically maximize the operating efficiency of electric machines. This research will apply recent developments in a particular type of optimal control to the important challenge of energy efficiency, will research into observers for machine power processing, and connection of the method to vibrational control. Efficiency maximization has been studied, especially for induction machines, but methods that adapt over wide load ranges are not available. The new approach leverages recent advances in ripple correlation control (RCC) to provide a fast, robust power minimizer. RCC uses inherent ripple in a power electronic system to force the average operating point to an optimum. RCC has been applied to solar power, but has been difficult to extend to motor control. RCC will be connected to vibrational control, a well established field that exploits variation in a system but with different objectives. The effort promises substantial electrical energy savings, works with electronic motor drives and will increase understanding of machine efficiency. Electric motors account for at least 60% of electricity consumption in the U.S., and about 2/3 globally. Widespread application of the technology developed through this project would reduce total electricity consumption by 7-10%, for an annual savings of about $23 billion in the U.S. alone. Even modest adoption of this technology would significantly reduce energy use in industrial and commercial arenas, and would establish technology solutions for efficiency control. The new approach is also important in advanced motor applications. It would extend the range of hybrid electric vehicles (HEVs) and plug-in HEVs.

该小型企业技术转让（STTR）第一阶段研究项目将开发一种新的控制方法，以自动最大限度地提高电机的运行效率。这项研究将应用最新发展的一种特殊类型的最优控制的能源效率的重要挑战，将研究观察器的机器功率处理，和连接的方法振动控制。效率最大化已被研究，特别是感应电机，但方法，适应在宽负载范围内是不可用的。新方法利用涟漪相关控制（RCC）的最新进展，提供一个快速，鲁棒的功率最小化。RCC利用电力电子系统中固有的涟漪来迫使平均工作点达到最佳。RCC已应用于太阳能发电，但一直难以扩展到电机控制。RCC将连接到振动控制，一个完善的领域，利用系统中的变化，但有不同的目标。这一努力有望节省大量电能，与电子电机驱动器一起工作，并将增加对机器效率的理解。在美国，电动机至少占电力消耗的60%，全球约2/3。通过该项目开发的技术的广泛应用将使总耗电量减少7- 10%，仅在美国每年就可节省约230亿美元。即使是适度地采用这项技术，也会大大减少工业和商业领域的能源使用，并为效率控制建立技术解决方案。这种新方法在先进的电机应用中也很重要。它将扩大混合动力汽车（HEV）和插电式HEV的范围。