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基于T-S模糊模型的鲁棒自适应滑模控制
引用本文:周彩根,张天平,于建江.基于T-S模糊模型的鲁棒自适应滑模控制[J].电机与控制学报,2006,10(2):199-202,207.
作者姓名:周彩根  张天平  于建江
作者单位:1. 扬州大学,信息工程学院,江苏,扬州,225009;盐城师范学院,计算机系,江苏,盐城,224002
2. 扬州大学,信息工程学院,江苏,扬州,225009
3. 盐城师范学院,计算机系,江苏,盐城,224002
基金项目:中国科学院资助项目;江苏省教育厅指导性项目
摘    要:针对一类具有时滞的非线性连续时间系统,基于T—S模糊模型,考虑系统的外界干扰和建模误差不存在的理想情况,并利用滑模控制理论和LMI方法,设计了滑模控制器;考虑系统的外界干扰和建模误差存在的情况,采用神经网络逼近建模误差,引入自适应控制鲁棒项,设计了自适应滑模控制器,根据Lyaponuv稳定性理论,证明了系统状态渐近稳定。仿真示例表明了所提方法的有效性。

关 键 词:T-S模型  时滞  非线性系统  滑模控制  自适应控制
文章编号:1007-449X(2006)02-0199-04
收稿时间:2005-04-20
修稿时间:2005-11-21

Robust adaptive sliding-mode control based on T-S fuzzy model
ZHOU Cai-gen,ZHANG Tian-ping,YU Jian-jiang.Robust adaptive sliding-mode control based on T-S fuzzy model[J].Electric Machines and Control,2006,10(2):199-202,207.
Authors:ZHOU Cai-gen  ZHANG Tian-ping  YU Jian-jiang
Abstract:A class of nonlinear continuous time systems based on T-S fuzzy model with time-delay is studied. It is assumed that the external disturbances and modeling errors do not exist, and a novel scheme of sliding-mode controller is designed based on the principle of sliding-mode control and LMI technique. Further, when external disturbances and modeling errors occur, using neural networks to approximate the modeling errors, an adaptive sliding-mode controller is designed with robust control tenn. Using Lyaponuv stability theory, the states of the closed-loop control system are proven to be stable. The numerical examples show the effectiveness of the
Keywords:tagaki-sugeno model  time-delay  nonlinear systems  sliding-mode control  adaptive control
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