Robust Variable Structure Control Algorithm Based on T-S Fuzzy Model

摘要：

In this parer, we propose a robust variable structure control algorithm based on Takagi-Sugeno (T-S) fuzzy model for a class of nonlinear systems. We use a T-S fuzzy model with mismatched uncertainty and time-varying delay to approximately represent the nonlinear systems. An asymptotically stable sliding surface is designed by means of linear matrix inequality (LMI). The sliding surface can compensate for the effect of the uncertainty. A robust variable structure controller is designed to ensure the existence of a sliding mode and to overcome the effect of the time-varying delay and the uncertainty. In addition, a novel reaching condition that can obviously reduce chattering around the sliding surface is also proposed. Matlab simulation results are offered to verify the effectiveness of the proposed algorithm.

关键词： Variable structure control T-S Reaching condition LMI Nonlinear

作者: Ming Yan Chengjun Yue Youguo He

作者单位: College of Light Industry, Liaoning University, Shenyang, 110036 College of Information and Science, Liaoning University, Shenyang, 110036 Faculty of Information Engineering, Shenyang University, Shenyang, 110044

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 500-505

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）