模糊神经元非模型算法在发酵温控中的应用  

Application of Fuzzy-neuron Model-free Control Algorithm on Fermentation Temperature Control

作　　者：王昱[1] 李勇[2] 

机构地区：[1]沈阳航空工业学院自动控制系,辽宁沈阳110136 [2]东北大学信息科学与工程学院,辽宁沈阳110004

出　　处：《控制工程》2007年第2期167-170,共4页Control Engineering of China

基　　金：国家973重点研究项目基金资助项目(2002CB312200)

摘　　要：设计了解析模糊控制器,并在此基础上引入了单神经元;根据智能积分的思想,研究了模糊神经元非模型控制算法。解析模糊控制和模糊神经元非模型控制算法在发酵实验室微型发酵罐温度控制中进行了应用,实验结果表明,该算法可解决单纯的模糊控制因缺少积分作用而存在稳态误差的问题,其控制精度更高,稳态性能更好;同时,抗干扰性实验验证了控制系统的稳定性。Based on designing analytical fuzzy controller,fuzzy-neuron model-free control algorithm is studied by using single neuron and the thought of intelligent integral.The analytical fuzzy control algorithm and fuzzyneuron model-free control algorithm are applied to microfermenter temperature control in NEU fermentation laboratory.The experimental results show that this fuzzy-neuron model-free control algorithm can solve the problem of steady-state error in fuzzy control which lacks integral function.It has higher control accuracy and better steady-state behavior.Simultaneously,the anti-interference experiment shows that this method has good practical application value.

关 键 词：解析模糊控制 神经元 智能积分 非模型控制 发酵温度 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]