报告题目:Control and Optimization of Integrated Fuel Cell Power Systems
报告人:Jing Sun(University of Michigan, Ann Arbor, USA)
时间:2012年7月17日下午3:00
地点:南一楼中311室
Abstract:
Integrated fuel cell power systems, especially those incorporating energy recuperating devices, are often characterized by synergetic interactions of heterogeneous subsystems; tight chemical, thermal, mechanical, and electrical couplings; and complex and challenging control tasks. To maintain high efficiency, these systems often operate on or close to their admissible boundary. In addition, there are many operational constraints, such as continuous fuel cell reactant supply and reactor temperature limits, that have to be strictly enforced during transient operations.
In this presentation, we will discuss our recent research and development activities on modeling and control of integrated solid oxide fuel cell (SOFC) power systems. We have focused our effort on developing control methodologies and tools that can assure both highly efficient steady state operations and fast and safe transients. Control-oriented modeling for the SOFC system will be discussed, in conjunction with the control development results. Dynamic analysis and control design of a hybrid SOFC and gas turbine power system will be presented. Real-time simulation and optimization efforts will also be covered.
About the speaker:
Prof. Jing Sun received her Ph. D degree from University of Southern California in 1989. From 1989-1993, she was an assistant professor in the Electrical and Computer Engineering Department at Wayne State University. She joined Ford Research Laboratory in 1993, where she worked on advanced powertrain system controls. After spending almost 10 years in industry, she came back to academia in 2003 and joined the Naval Architecture and Marine Engineering Department and Electrical Engineering and Computer Science Department at the University of Michigan where she is a professor now. She holds 37
US
patents and has co-authored (with Petros Ioannou) a textbook on Robust Adaptive Control. She is an IEEE Fellow and a recipient of the 2003 IEEE Control System Technology Award.