Research on trajectory linearization control based on fuzzy disturbance observer

被引：0
|
作者：
Zhang, Chun-Yu [1 ]
C.-S., Jiang [1 ]
L., Zhu [1 ]
机构：
[1] Dept. of Automatic Control Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2007年 / 29卷 / 06期
关键词：
Computer simulation - Disturbance rejection - Errors - Fuzzy systems - Linearization - Lyapunov methods - Mathematical models - Observability - Robustness (control systems) - Stability - Theorem proving - Trajectories - Uncertain systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new control structure based on trajectory linearization control (TLC) method and fuzzy disturbance observer (FDO) technique for a class of nonlinear uncertain system is proposed. Thanks to the approach ability of fuzzy system, a FDO is used to estimate the unknown disturbances and uncertainties, and the whole system performance is enhanced by a robustifying item. The overall system guarantees that the tracking error and the disturbance observation error are uniform ultimate boundedness using Lyapunov theory. Finally, a numerical example is studied based on the proposed method. Simulation results demonstrate the effectiveness and robustness of the method.
引用
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页码：920 / 925
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