摘要
考虑到模型 -实际差异 ,将子过程的数学模型中的系数处理为模糊数 ,提出了基于模糊模型的大工业过程的稳态关联平衡法 .论文研究了关联平衡法的三种情况 :开环的、有全局反馈的以及双迭代的关联平衡法 .仿真结果验证了基于模糊模型的关联平衡法的有效性 .同时表明模糊双迭代法是迄今为止在线迭代次数最少的稳态协调算法 .
Considering the difference between model and reality, model coefficients of large-scale industrial processes are treated as fuzzy numbers, and an interaction balance method based on fuzzy model is proposed. Three types of interaction balance method: general interaction balance method, interaction balance method with global feedback and interaction balance method with double iterative techniques are studied. Simulation shows that the method provides a faster convergence and better objective function. Furthermore double iterative techniques with fuzzy parameters is the coordination method that requires the smallest number of on-line iterations so far.
出处
《自动化学报》
EI
CSCD
北大核心
2002年第4期569-574,共6页
Acta Automatica Sinica
基金
国家自然科学基金重点项目 ( 59937150 )资助
关键词
模糊参数
大工业过程
关联平衡法
递阶控制
Algorithms
Computer simulation
Feedback control
Fuzzy sets
Iterative methods
Mathematical models
Mathematical programming
