摘要
针对传统模糊控制器存在不能消除稳态误差及其变化率以及无法同时得到较好的动态特性和稳态性能的缺点,提出了一种新的参数自寻优模糊控制器。在基本模糊控制器的基础上,利用单纯形法自动优化模糊控制器的量化因子、比例因子和积分校正因子。仿真结果表明,该控制器具有较强的抗干扰能力以及较好的动、静态控制精度。
In traditional fuzzy controllers, the steady state errors and its changing rate can＇t be eliminated, and the good dynamic characteristics and steady-state properties can＇t be simultaneously obtained. In view of these shortcomings, a new kind of self-optimizing fuzzy controller is presented in this paper by utilizing simplex method to optimize the quantifying factor, scaling factor and integral tuning factor automatically. The simulation results indicate that the controller has strong anti-jamming capacity, and fairly good accuracy in its static and dynamic control performances.
出处
《北京机械工业学院学报》
2006年第2期48-51,共4页
Journal of Beijing Institute of Machinery
关键词
自寻优
模糊
单纯形法
量化因子
比例因子
积分校正因子
self-optimizing
fuzzy
simplex method
quantifying factor
scaling factor
integral tuning factor
