工业控制计算机
工業控製計算機
공업공제계산궤
Industrial Control Computer
2015年
11期
55-57
,共3页
循环流化床锅炉%燃烧自适应控制%模糊控制%BP神经网络%遗传算法
循環流化床鍋爐%燃燒自適應控製%模糊控製%BP神經網絡%遺傳算法
순배류화상과로%연소자괄응공제%모호공제%BP신경망락%유전산법
circulating fluidized bed boiler%adaptive control for burning%fuzzy control%BP neural network%genetic algorithm
由于循环流化床锅炉燃烧过程的多变量耦合、参数时变等复杂特征导致其自动精确控制存在较大的难度,为此提出一种自适应控制器算法。将模糊控制与BP神经网络使用结构等价方法进行融合成模糊BP神经网络,并针对神经网络存在的收敛时间长等缺陷,引入遗传算法优化BP神经网络的权值,并通过前馈补偿解耦器实现对循环流化床锅炉燃烧过程的自适应精确控制。实验结果表明,该算法能够适应循环流化床锅炉的变参数工况,而且成功实现了燃烧过程中床温和主蒸汽压力的解耦合。
由于循環流化床鍋爐燃燒過程的多變量耦閤、參數時變等複雜特徵導緻其自動精確控製存在較大的難度,為此提齣一種自適應控製器算法。將模糊控製與BP神經網絡使用結構等價方法進行融閤成模糊BP神經網絡,併針對神經網絡存在的收斂時間長等缺陷,引入遺傳算法優化BP神經網絡的權值,併通過前饋補償解耦器實現對循環流化床鍋爐燃燒過程的自適應精確控製。實驗結果錶明,該算法能夠適應循環流化床鍋爐的變參數工況,而且成功實現瞭燃燒過程中床溫和主蒸汽壓力的解耦閤。
유우순배류화상과로연소과정적다변량우합、삼수시변등복잡특정도치기자동정학공제존재교대적난도,위차제출일충자괄응공제기산법。장모호공제여BP신경망락사용결구등개방법진행융합성모호BP신경망락,병침대신경망락존재적수렴시간장등결함,인입유전산법우화BP신경망락적권치,병통과전궤보상해우기실현대순배류화상과로연소과정적자괄응정학공제。실험결과표명,해산법능구괄응순배류화상과로적변삼수공황,이차성공실현료연소과정중상온화주증기압력적해우합。
There is some difficulty for the automatic and accurate control in the burning process of circulating fluidized bed boiler because of some complex features such as multivariate coupling and time-changing parameter,so an adaptive control er algorithm is proposed in this paper.The fuzzy BP neural network is combined with the fuzzy control and BP neural network by structural equivalence method,in which there are some defects including long-time for convergence so the ge-netic algorithm is introduced to optimize the weighting value.The adaptive and precise control for burning of circulating flu-idized bed boiler is realized by feed-forward compensation decoupling.