摘要
利用梯度下降法反向修改带有可调整因子的模糊控制器中的可调整因子,提出了一种对可调整因子进行在线实时修改和优化的方法。通过对被控对象的分析给出了控制器参数的初值。在运行过程中,利用该方法对可调整因子进行在线实时修改和优化,实现模糊控制器控制规则的自寻优,使过程具有较好的控制品质。
In order to solve the problem of optimizing the control rules of fuzzy controller on-linely and real-timely , a new approach based on gradient descent algorithm is proposed. Using this method, the adjustable gene is optimized on-linely. The simulation results show that the design brings the self-optimization and good quality.
出处
《控制工程》
CSCD
2003年第5期469-471,共3页
Control Engineering of China
