讲座题目：Digital Controller Design for Time-delayed Bouc-Wen Hysteretic Systems
报告人：Prof. Yongpeng Zhang
Prairie View A&M University, Texas
讲座地点：综合实验三号楼三楼307会议室
讲座时间：2016年7月26日（周二）上午9点
报告简介：
Bouc-Wen model is a popular analytical form to describe hysteretic system while the non-smooth absolute-value function terms in the model bring about challenges in control system design. Different from traditional piecewise approach, this paper presents a digital control design methodology based on a revised model with a universal smooth representation. In the proposed method, approximated scalar sign function in a smooth rational form is utilized to replace the non-smooth absolute-value function terms, resulting in an approximate description of Bouc-Wen model with adjustable accuracy and universal smoothness which facilitates the following linearization. Then the optimal linearization technique is adopted to obtain an accurate local linear model at any operating point. Next, an analog controller is developed based on the local linear model to attain the required control performance. Then through digital redesign, the analog controller is converted to the digital counterpart which is further capable of compensating time delays arising from controller computation, A/D and D/A conversion etc. The feasibility and effectiveness of the proposed method have been verified through simulations with two illustrative examples.
报告人简介：
Yongpeng Zhang received his PhD degree in Electrical Engineering from University of Houstonin 2003. After one year post-doctoral research, he was appointed as the Tenure-Track Assistant Professor in Engineering Technology Dept at Prairie View A&M University in 2004 Fall, where he received promotion as the Tenured Associate Professor from 2010 Fall. His research interests include control system, mechatronics, motor drive, power electronics, and real-time embedded system design. As the Principal Investigator for multiple grants sponsored by US Army Research Office, NSF, and industry (Emerson, 3M) with accumulated research funding of over 1 million dollars.
