摘要
针对一类具有不确定性的非线性系统,考虑参数摄动、未建模动态和外界干扰等各种不确定性的综合影响,提出一种基于切换增益和sigmoid函数边界层厚度的参数自适应滑模控制(PASMC)策略,采用李亚普诺夫稳定性理论证明了闭环系统全局稳定性。该控制方法不仅具有传统滑模控制的优点,而且能消除抖振且无需确知不确定性的界。最后以船舶减摇鳍非线性控制系统为例,通过仿真验证了该方法的有效性。
Considering the effect of uncertainties such as parameter perturbations, unmodeled dynamics and external disturbances for a class of uncertain nonlinear systems, a new parameters adaptive sliding mode control (PASMC) is proposed. Through adaptive adjust- ment of the switching gain and sigmoid function boundary layer thickness, the closed-loop system is robust and asymptotically stable in the sense of the Lyapunov stability. The controller not only has the advantages of traditional sliding mode control , bust also can elimi- nate the input chattering and need not to know the boundary of the uncertainties. The simulation results of ship fin stabilizer nonlinear system verify the effectiveness of the proposed method.
出处
《控制工程》
CSCD
北大核心
2012年第5期885-888,共4页
Control Engineering of China
基金
重庆市科技攻关项目(CSTC2008AB3049)
关键词
非线性系统
不确定性
滑模控制
自适应控制
nonlinear systems
uncertainties
sliding mode control
adaptive control