摘要
针对一类输入受限的非线性系统,提出了一种自适应模糊backsteppig控制器的设计方法.在控制器的设计过程当中,采用模糊系统对不确定非线性函数在线逼近;利用双曲正切函数和Nussbaum函数对系统输入饱和函数进行处理;将动态面法与backstepping法相结合解决"计算膨胀"的问题.通过Lyapunov理论分析证明了所设计的控制器能够使闭环系统所有信号半全局一致有界(SGUUB).最后应用于高超声速飞行器的攻角跟踪控制中,仿真结果表明该方法的有效性.
We propose a method for designing the adaptive fuzzy backstepping controller for a nonlinear system with input saturation. In this method, we use the fuzzy logic system to identify the uncertain nonlinear functions online, and employ the hyperbolic tangent function and Nussbaum function to handle the input saturation. By combining the backstep- ping recursive design with dynamic surface control （DSC） technique, we solve the problem of ＂computation explosion＂ . By using Lyapunov theory, we prove that this controller ensures all signals in the closed-loop system to be semi-globally uniformly ultimately bounded （SGUUB） in probability. This method has been applied to the design of the attack angle of a hypersonic vehicle. Simulation results are given to show the effectiveness of the proposed method.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2015年第12期1669-1675,共7页
Control Theory & Applications
基金
国家自然科学基金项目(61304001
61304239)资助~~
