摘要
为了达到满意的控制效果,在详细分析系统动态响应特性的基础上,给出了规则双阶段提取自组织模糊控制方法,即通过规则的初级提取和自组织过程,建立初始规则,通过实时控制过程对初始规则的精确微调和自组织,实现模糊控制过程.仿真表明,该方法规则提取迅速,控制结果较常规PID控制具有超调小、调整时间短等优点,便于实际应用.
The control rules extraction is divided into two stages. In the first stage, a neural network model of plant is established firstly utilizing sample data, then an off - line process of extract rules via this model is performed. In the second stage, the obtained rule is refined on -line via plant. Simulating results indicate that this method can extract rules swiftly and made overshoot and settle time reduced remarkably compared to regular PID control. This method can be used in practice conveniently.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2005年第9期1189-1191,1218,共4页
Journal of Harbin Institute of Technology
基金
国家自然科学青年基金资助项目(59908001)哈尔滨工业大学跨学科交叉性研究基金资助项目(HIT.MD200030).
关键词
模糊控制
规则双阶段提取
自组织
神经网络
fuzzy control
two - stage rules extraction
self - organizing
neural network
