鲁棒自适应仿生模糊滑模控制  

Robust Adaptive Bionic Fuzzy Sliding Mode Control

作　　者：华静[1] 安丽霞[1] 李医民[1] 

机构地区：[1]江苏大学理学院,江苏镇江212013

出　　处：《数学的实践与认识》2015年第7期214-222,共9页Mathematics in Practice and Theory

基　　金：国家自然科学基金:慢变扰动下混沌生态系统的仿生智能控制(11072090);广西汽车零部件与整车技术重点实验室基金(2012KFMS12)

摘　　要：针对一类非线性系统,将生物个体对外界环境的适应对策弓J入滑模控制中,在模糊滑模控制的基础上提出了仿生模糊滑模控制方法.该法利用生物随外界环境变化的主动适应性来设计控制器.在实际问题中往往出现建模误差、外界干扰等不确定因素,为了补偿模糊控制器与理想控制器的误差,增加了一个鲁棒控制器.这样使系统具有更强的鲁棒性和抗扰动性,有效避免抖振和消除误差,达到理想状态.同时,利用Lyapunov稳定性理论,证明了闭环系统的全局稳定性.最后对线性系统和倒立摆系统进行了仿真,结果表明了方法的有效性和可行性.adaptive sliding mode fuzzy control is proposed for a class of uncertain nonlinear systems. We add biological active adaptation to the sliding mode control and utilize it to design controller. Moreover, the system has a stronger ability to resist disturbance and better performance robustness. The chattering phenomenon in the sliding mode control is avoided and zero steady tracking error can be ensured which makes the system to achieve the ideal state. The closed-loop system is stable in the sense of Lyapunov. Finally, the simulation results are effective and feasible.

关 键 词：滑模控制 模糊系统 生态位 自适应性 鲁棒性 

分 类 号：O231[理学—运筹学与控制论]