摘要
提出了一种基于T-S模糊模型的非线性系统的鲁棒跟踪控制方案.首先将系统的模糊模型等价变换为广义系统模糊模型,然后设定跟踪性能指标,结合线性矩阵不等式方法设计了鲁棒跟踪控制器.该方法不仅减少了求解复杂度,而且因减弱了对待定矩阵的限制而降低了保守性.将该方法应用于倒立摆系统,实现了角度和角速率的精确快速跟踪控制,从而表明了方法的有效性.
A robust tracking control scheme is proposed for nonlinear systems based on the T-S fuzzy model. An ordinary fuzzy model is transformed to a fuzzy descriptor model. The tracking performance index is designed, and the robust tacking controller design method presented based on linear matrix inequality. Computational complexity is decreased, and conservation also reduced as the limitations on the undetermined matrices are relaxed. The method is applied to control an inverted pendulum system, showing that the angle and angular rate can track the reference signals accurately and rapidly. The simulation results demonstrate effectiveness of the proposed method.
出处
《应用科学学报》
EI
CAS
CSCD
北大核心
2012年第4期423-426,共4页
Journal of Applied Sciences
基金
国家自然科学基金(No.60974106
No.91116017)
南京航空航天大学博士学位论文创新与创优基金(No.BCXJ10-04)资助
关键词
非线性系统
模糊系统
鲁棒控制
跟踪控制
广义系统
nonlinear system
fuzzy system
robust control
tracking control
descriptor system
