摘要
针对一类严格反馈非线性系统,应用单位分解逼近系统的控制器,设计了自适应跟踪控制器.所提出的控制方案保证闭环系统的所有状态一致有界,并且使输出跟踪误差渐近收敛到零点的一个小领域内.以达芬强迫振动系统为仿真对象,仿真结果表明基于单位分解的控制设计方法不仅能够有效地逼近系统的不确定性,而且能够有效地减少自适应律的数目,与已有的自适应模糊控制算法比较证明此控制设计方案切实有效.
Aiming at a strict feedback nonlinear system,by applicating the control of unit decomposition approach system an adaptive tracking controller is designed.The proposed control scheme ensures that all states of the closed-loop system are uniform boundedness and makes the output tracking error asymptotic gather to zero point to a small field.The simulation results show that the control design method based on the decomposition of the unit can not only approximate the uncertainty of the system effectively,but also can reduce the number of the adaptive law effectively.The proposed control design is proved more practical and effective compared with the existing adaptive fuzzy control algorithm.
出处
《陕西科技大学学报（自然科学版）》
2011年第6期84-88,共5页
Journal of Shaanxi University of Science & Technology
基金
四川文理学院项目(2010B01Z)
关键词
单位分解
自适应
跟踪控制
模糊逻辑
unit decomposition
adaptive
tracking control
fuzzy logic
