摘要
基于气动加载系统是非线性系统,文中提出一种观测器-自适应模糊滑模反演控制方案。先对系统动静模型分析,获得二阶SISO动态方程,并通过系统模型辨识加以证明动态方程的有效性,进而反演控制结合滑模控制推算出控制律,再利用自适应模糊控制对其动态方程中未知量的模糊逼近,引用自适应控制对系统不确定性的补偿,同时加入观测器谋求对系统延时的解决。利用Matlab分别在阶跃、正弦输入信号下进行仿真。通过PID控制与文中算法的比较,结果表明文中算法响应速度快,实现了系统的跟踪控制。
The pneumatic loading system is a strong nonlinear system, an observer - adaptive fuzzy sliding mode inversion control scheme is proposed based on a nonlinear system with a pneumatic loading system. First, the system dynamic model is obtained, and the second order SISO dynamic equation is obtained. The validity of the dynamic e- quation is proved by identification of the system model. Inverse control is combined with sliding mode control to de- rive the control law. Then, the adaptive fuzzy control The adaptive control is used to compensate the uncertainties of the system, and the observer is added to solve the system delay. sinusoidal input signals using Matlab. The results show that the problem of delay. Finally, the simulation is carried out with step and proposed algorithm is fast in response and solve the problem of delay.
出处
《电子科技》
2017年第8期44-47,55,共5页
Electronic Science and Technology
关键词
气动加载系统
模型辨识
反演控制
滑模控制
自适应模糊控制
pneumatic loading system
model identification
inversion control
sliding mode control
adaptive fuzzy control
