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STTR Phase I: Online Optimization for Induction Motor Efficiency

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0712498
Agency Tracking Number: 0712498
Amount: $149,458.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: EL
Solicitation Number: NSF 06-598
Solicitation Year: 2006
Award Year: 2007
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
60 E. Hazelwood Dr., 6745 HOLLISTER AVENUE, Champaign, IL, 61820
DUNS: 141623327
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Brian Kuhn
 (217) 344-6044
Business Contact
 Brian Kuhn
Title: PhD
Phone: (217) 344-6044
Research Institution
 Univ of IL Champaign
 Philip T Krein
 1901 South First St
Urbana, IL, 61801-5130
 (217) 333-4732
 Nonprofit college or university
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.

* Information listed above is at the time of submission. *

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