Enhancing tracking performance of a bilinear system using MPC

被引：0
|
作者：
Kim, Seok-Kyoon [1 ]
Kim, Jung-Su [2 ]
Lee, Youngil [2 ]
机构：
[1] Research Institute of EIT, Ajou University, Suwon, Korea, Republic of
[2] Department of Electrical and Information Engineering, Seoul Tech, Seoul, Korea, Republic of
来源：
Journal of Institute of Control, Robotics and Systems | 2015年 / 21卷 / 03期
关键词：
Lyapunov functions - Navigation - Predictive control systems - Cost functions;
D O I：
10.5302/J.ICROS.2015.14.0137
中图分类号：
学科分类号：
摘要：
This paper presents a method to enhance tracking performance of an input-constrained bilinear system using MPC (Model Predictive Control) when a feasible tracking control is known. Since the error dynamics induced by the known tracking control is asymptotically stable, there exists a Lyapunov function for the stable error dynamics. By defining a cost function including the Lyapunov function and describing tracking performance, an MPC law is derived. In simulation, the performance of the proposed MPC law is demonstrated by applying it to a converter model. © ICROS 2015.
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页码：237 / 242
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