摘要
模糊滑模控制是非线性控制的一个重要方法。它消除了滑模控制的抖动,但同时带来新的问题———静差。而且控制器在控制切换时动态性能与滑平面的选择有很大关系。由于以上问题的存在,基于模糊逻辑系统,用模糊控制器来逼近滑模控制律,同时为了保证逼近精度和模糊控制系统的稳定性,在设计中加入模糊监督控制器。再基于遗传算法对滑平面的特征常数λ寻优,目标函数是系统的误差和表征系统稳定性的一个新变量。这种方法减小了系统的稳态误差,加快了系统的响应速度。仿真结果表明了该方法的有效性。
The sliding mode control based on the fuzzy logic provides a new method in controlling nonlinear control system. It can get rid of the chattering, but introduce the new problem, the steady state error. The dynamic performance of the hybrid fuzzy sliding mode controller depends heavily on the sliding surface on which the control structure is switched. A new method is presented in which fuzzy control approaches the sliding mode controller with adjusting the value of λ. In order to improve the properties, the fuzzy supervisory controller is used in the same time. The simulation results indicate the effectiveness of the method.
出处
《电力科学与工程》
2004年第4期52-54,共3页
Electric Power Science and Engineering
关键词
模糊控制
滑模控制
遗传算法
模糊滑模控制
fuzzy control
sliding mode control
genetic algorithm
fuzzy-sliding control
