基于规则的自组织模糊控制算法研究

Study of a Self-organization Fuzzy Controller Based on Rules

针对一类具有慢时变、大滞后、非线性的复杂过程控制,提出了一种基于规则自调整的模糊控制算法,它通过对对象特性的辨识与控制量的校正,直接修改控制规则,避免了常规模糊控制对操作经验过分依赖及采用模糊推理修改规则求解模糊关系矩阵的复杂运算过程,增强了控制的实时性。

According to a class of complex nonlinear process control which has the characterizaion of slow time vary and large time delay, a self-organization fuzzy control algorithm based on rules is presented. This algorithm doesn't execute fuzzy relationship matrix operation, but directly modifies elements of the fuzzy control table based on the identification of object charaterization and the self tuning of the control gain. Then real time effect of control is enhanced.