消毒柜的模糊神经网络控制器的设计

Design of a Controller of a Disinfectant Cupboard Based on Fuzzy Neural Network

单一的模糊控制器控制精度不是很高,通过BP神经网络,对模糊规则的结论参数和隶属函数进行在线修正,实现模糊规则的自组织。研究表明,将神经网络原理运用于模糊控制,可以改善控制器的静态性能和鲁棒性能。

As the manipulative precision of single fuzzy controller is not very accurate, by means of BP, the conclusive parameters of the fuzzy principles and subordinate function are revised on line and self-organization of fuzzy principles is realized. The research shows that applying the theory of neural network to fuzzy control, the controller＇s static performance and robustness are improved.