摘要
针对主动磁悬浮轴承系统具有强非线性、强耦合、模型不确定等特点,提出了一种变论域自适应模糊PID算法;该方法通过选择合适的伸缩因子,避免了传统模糊PID控制中出现规则爆炸的问题;同时针对传统伸缩因子的函数结构和参数难以确定的特点,设计了基于模糊规则的论域伸缩因子;在SIMULINK环境中对主动磁悬浮轴承系统进行仿真,仿真结果表明,变论域模糊PID算法控制的主动磁悬浮系统具有更好的动静态性能,对外界干扰具有更强的鲁棒性。
Aiming at the characteristics of strong nonlinear , strong coupling and model uncertainty in active magnetic bearing system , a variable universe fuzzy PID algorithm is put forward. By choosing appropriate sealing factor, so as to avoid rules explosion which occurred in traditional fuzzy PID controller. What＇ s more, it is difficult to select the function models for the expansion--contraction factors and their parameters, this paper designs the domain scaling factor based on the fuzzy logic inference rule. The simulations in the SIMULINK environment for the active magnetic bearing system were carried out. Results show that the variable universe adaptive fuzzy PID control of the magnetic bearing system has better dynamic stability performance, and has stronger robustness to external disturbance.
出处
《计算机测量与控制》
2015年第4期1165-1167,共3页
Computer Measurement &Control
关键词
变论域
模糊推理
伸缩因子
磁悬浮系统
variable universe
fuzzy logical inference
expansion contraction factor
magnetic levitation system
