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首页> 外文期刊>Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers >IDENTIFICATION OF DYNAMIC CHARACTERIZATION PARAMETERS OF AGITATED PULP CHESTS USING HYBRID GENETIC ALGORITHM
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IDENTIFICATION OF DYNAMIC CHARACTERIZATION PARAMETERS OF AGITATED PULP CHESTS USING HYBRID GENETIC ALGORITHM

机译:识别的动态特性参数的使用混合搅拌浆箱遗传算法

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摘要

Pulp suspensions are non-Newtonian and possess a significant yield stress,which creates considerable deviations from ideal mixing as demonstrated by dynamic tests made on both industrial and scale-model pulp chests.Due to the existence of non-ideal flows in agitated pulp chests,the determination of their discrete-time characterization parameters is very challenging.This paper optimally determines these parameters using a multi-parameter hybrid genetic algorithm specially developed to generate robust and high quality results.The algorithm integrates the genetic operations of selection,crossover and mutation with gradient search inside successively expanding and contracting parameter domains using alternating logarithmic and linear mappings.The algorithm is successfully tested on three different sets of simulated data,and it is found to retrieve the model parameters with high accuracy.Three sets of experimental data are then processed by the algorithm for the optimal determination of their characterization parameters.The corresponding optimal outputs match well with their experimental counterparts.The results indicate the potential application of the algorithm to solve non-linear process optimization problems with high accuracies.
机译:纸浆悬浮液是非牛顿和拥有产生明显的屈服应力相当大的偏离理想混合证明了动态测试了工业和航空纸浆胸部。在搅拌浆中存在的非理想流胸部,离散时间的决心特征参数是非常具有挑战性的。使用多参数混合遗传参数算法生成健壮而特别开发的和高质量的结果。的遗传操作选择,交叉和在先后突变与梯度搜索扩张和收缩参数域使用交替对数和线性映射。算法是成功测试了三个不同的模拟数据,发现高的检索模型参数准确性。处理的最优算法测定他们的特征参数。匹配他们的实验同行。应用该算法解决非线性的高的流程优化问题精度。

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