农业工程学报Issue(7)：39-46,8.DOI:10.3969/j.issn.1002-6819.2015.07.006
籽棉异性纤维清理机多目标清理自适应控制模型
Multi-objective adaptive control model of foreign fiber cleaner used in seed cotton
摘要
Abstract
Foreign fiber cleaner was widely used in the field of cotton processing industry for its good cleaning efficiency. However, with the improvement of cotton processing level, how to improve the foreign fiber’s cleaning efficiency and reduce the fiber’s damage had become a growing concern, which was taken as the research object in the paper. This paper designed four-factor quadratic orthogonal rotation test. The four factors were the capacity of foreign fiber cleaner, the regain of seed cotton, the winding roller speed and the wind speed. The cleaning efficiency of foreign fiber and the damage of fiber length were objective functions. For the multi-factor test, orthogonal test design was an effective method of scientific experiments where part of the ones can reflect the comprehensive experiments. Through these factors quadratic orthogonal rotation test, the multi-objective optimal control model of foreign fiber cleaner was established. The results revealed that the remarkable factors which influenced the cleaning efficiency of linear foreign fiber were the winding roller speed, the regain of seed cotton and the wind speed, while the capacity of foreign fiber cleaner was not remarkable. The regain of seed cotton and winding roller speed had significantly interactive effect for the cleaning efficiency of linear foreign fiber. Higher winding roller speed, wind speed and lower regain of seed cotton would improve the cleaning efficiency. The effects on the cleaning efficiency of linear foreign fiber were in order of winding roller speed>wind speed>regain of seed cotton>capacity of foreign fiber cleaner. The effects on the cleaning efficiency of flake foreign fiber were in order of wind speed>winding roller speed>regain of seed cotton>capacity of foreign fiber cleaner. All of the factors were the remarkable factors. The effects on the damage of fiber length were in order of winding roller speed>regain of seed cotton>wind speed>capacity of foreign fiber cleaner. The remarkable factors which influenced the damage of fiber length were the winding roller speed, the regain of seed cotton and the wind speed. The model in this paper has been applied in the multi-objective optimization control of foreign fiber cleaner. Users could adjust the parameters of foreign fiber cleaning machine according to their demand in the actual production. In the conditions of this study, Compared with a fixed value control method, the cleaning efficiency of linear foreign fiber by using multi-objective adaptive control method was increased on average by about 9.4%, the cleaning efficiency of flake foreign fiber was increased on average by about 3.3%, and the damage of fiber length was reduced on average by about 0.051%. Cleaning effect was satisfactory.关键词
控制/自动化/棉花纤维/多目标自适应控制/异性纤维清理机/清理效率/纤维损伤Key words
control/automation/cotton fibers/multi-objective adaptive control/foreign fibers cleaner/cleaning efficiency/damage of fibers分类
农业科技引用本文复制引用
李慧,王昊鹏..籽棉异性纤维清理机多目标清理自适应控制模型[J].农业工程学报,2015,(7):39-46,8.基金项目
国家自然科学基金资助项目（51405194）；新疆建设兵团高新技术产业创新专项资助项目（2012 AC001）；济南“泉城学者”建设工程资助项目 （）
