农业机械学报2017，Vol.48Issue(4)：73-81,9.DOI:10.6041/j.issn.1000-1298.2017.04.009
机采棉加工过程智能控制与试验优化
Intelligent Control and Optimization Experiment of Machine-harvested Cotton Processing
摘要
Abstract
The machine-harvested cotton was processed through multistage seed cotton cleaning and lint cleaning,and cotton fiber was damaged inevitably.With the balance of appearance quality and inherent quality,the research method and testing program for process optimization control of machine-harvested cotton processing technology were proposed.According to the latest cotton quality inspection standard,nine parameters optimization targets such as trash area,trash count,reflectance,yellowness,upper half mean length,length uniformity,short fiber index,micronaire and strength were determined,and global optimization goal for the maximum transaction price of lint processing products was established.Seven rotational speed variables of cleaning machines,including inclined seed cotton cleaners Ⅰ and Ⅱ,recovery seed cotton cleaner,upper cotton gin,stripper and stick cleaner,saw lint cleaners Ⅰ and Ⅱ were selected as optimized control variables,which had significant effect on cotton cleaning.Architecture model based on monitoring layer,control layer and equipment layer was adopted,and upgrading key equipment automation was completed.The data model between control targets and control variables was built by using central composite design of response surface methodology.Taking global optimization control goal as fitness evaluation function,genetic algorithm was proposed to calculate the multivariate data model solution.Seven rotational speeds were 495 r/min,484 r/min,727 r/min,472 r/min,1 131 r/min,822 r/min,763 r/min,respectively.The test results showed that the change rate of trash area for processed lint products was reduced by 7 percentage points,the change rate of upper half mean length was increased by 2 percentage points,and product quality was more stable.The suggested method guaranteed fiber quality effectively with reduction of impurity content.关键词
机采棉/加工/智能控制/参数优化/响应面分析法/遗传算法Key words
machine-harvested cotton/processing/intelligent control/parameter optimization/response surface methodology/genetic algorithm分类
轻工纺织引用本文复制引用
张成梁,李蕾,董全成,冯显英,王昊鹏..机采棉加工过程智能控制与试验优化[J].农业机械学报,2017,48(4):73-81,9.基金项目
国家自然科学基金项目(51305164、51405194)和山东省重点研发计划项目(2016GNC110025) （51305164、51405194）
