DC-DC转换器基于混合模型和采样的切换控制
Hybrid Modelling and Sampling-Based Switching Control for DC-DC Converter
舒展   Shu Zhan
报告人照片   Zhan Shu was born in Nanchang, Jiangxi province, China, in 1982. He received his B.Eng. degree in Automation from Hua zhong University of Science and Technology (HUST) in 2003, and the Ph.D. degree in Control Engineering from The University of Hong Kong (HKU) in 2008. From 2008 to 2009, he worked in HKU as a research assistant/associate. From 2009 to 2011, he was a postdoctoral researcher in the Hamilton Institute, National University of Ireland, Maynooth. He joined the University of Southampton, U.K., in 2011, taking a lectureship in Faculty of Engineering and the Environment. He is a Senior Member of IEEE and an invited reviewer of Mathematical Review of the American Mathematical Society. He serves an Associate Editor for Mathematical Problems in Engineering, an Associate Editor for Asian Journal of Control, an Associate Editor for Journal of The Franklin Institute, an Associate Editor for IET Ele.
  Power electronic converters are solid-state electronic devices that transform electrical power from one form (usually unregulated) to another regulated one through the use of semiconductor devices operating as power switches. Most typical analysis and synthesis techniques employed in industry for control of power electronic converters involve considerable approximation and simplification. Although these techniques may be adequate in some cases, the controller performance is quite limited, and the design involves a lot of heuristic procedures, which lack theoretical guarantees. In this talk, using recently developed hybrid systems and control theory, new hybrid models for several types of DC-DC converters are introduced. Based on this, two novel sampling-based switching control methods are developed. With these new control approaches, no PWM is required, and the switching frequency can be controlled as well. Numerical simulations and experimental study are provided to show the effectiveness and merits of the proposed approaches.
报告时间:2018年08月30日15时00分    报告地点:西区电二楼208
报名截止日期:2018年08月30日    可选人数:40