摘要
针对pH值非线性控制系统,设计了一种实时简化变论域模糊控制器.将变论域思想与实时模糊推理策略相结合:一方面论域随着误差的减小而收缩,而论域的收缩相当于控制规则的增加,从而增加了控制精度;另一方面采用实时模糊推理方法,即对于一个二入一出的模糊控制器,一次推理过程中最多只激活4条控制规则,在控制的过程中只考虑这4条控制规则.这2种思想的结合使得控制规则的设计大大简化,可以采用批处理的方式设计控制器,不仅加快了系统的动态响应,也提高了控制精度.仿真结果证实了这种控制方法的有效性.
The real-time simplified variable domain fuzzy control method for the control of a pH nonlinear system was proposed. The method combined the idea of variable domain with the real-time fuzzy inference strategy. On the one hand, the method increased the control accuracy by the contraction of the domain following the decrease of er- rors, which is equivalent to the increase of the control rules. On the other hand, the algorithm activated at most four control rules during each control cycle by using the real-time fuzzy reasoning method for a typical two-input one-output fuzzy controller. The consideration of the two ideas simplifies the design of the control rules, accelerates the dynamic response, and improves the control accuracy. The controller can be designed in a batch mode. The simulation results confirm that the method is effective.
出处
《智能系统学报》
2011年第4期367-372,共6页
CAAI Transactions on Intelligent Systems
基金
国家自然科学基金资助项目(60774007)
关键词
pH系统
变论域
实时模糊推理
模糊控制器
pH system
variable domain
real-time fuzzy inference
fuzzy controller
