摘要
针对变论域模糊控制,提出一种新的自组织结构的变论域模糊控制方法。自组织结构算法可以调整变论域模糊系统结构以及动态获得模糊规则,进一步减小变论域模糊控制项的稳态逼近误差。通过进一步理论分析可知,自组织结构算法仅仅保证了系统瞬时的切换是平稳的,但不能保证系统的闭环稳定性。给出了所提出控制方法的适用条件。通过与固定模糊系统结构的变论域模糊控制比较,仿真结果表明,所提出控制方法不仅使得系统的稳态跟踪误差更平稳,而且使得输入控制信号更加平滑。
In order to improve the approximation ability of variable universe fuzzy controller, a new variable universe fuzzy control method based on self-organizing algorithm is proposed. The fuzzy system structure is changed and new fuzzy rules are obtained, thus the steady approximation error is reduced by the self-organizing algorithm. With the further analysis, it is known that the transient switching of system states is steady by self-organizing algorithm, but the stability of variable fuzzy controller is not guaranteed at the same time. The applicable condition is given for the proposed method. Compared with simulations for variable universe fuzzy control with fixed fuzzy structure, the simulation results with the proposed method show that not only the steady tracking error is more stable, but also the control input is smoother.
出处
《模糊系统与数学》
CSCD
北大核心
2012年第3期105-113,共9页
Fuzzy Systems and Mathematics
关键词
变论域模糊控制
自组织结构
模糊系统结构
模糊规则
稳态逼近误差
仿真
Variable Universe Fuzzy Control
Self-organizing
Fuzzy System Structure
Fuzzy Rules
Steady Approximation Error
Simulation
