基于遗传算法和自适应的印刷色彩模糊控制-北京工业大学学报.pdfVIP

第39卷 第9期 北 京 工 业 大 学 学 报 Vol.39 No.9 2013年 9月 JOURNAL OF BEIJING UNIVERSITY OFTECHNOLOGY Sep. 2013 基于遗传算法和自适应的印刷色彩模糊控制 初红艳,杨俊敬,蔡力钢,苏摇 雷 (北京工业大学 机械工程与应用电子技术学院,北京摇 100124) 摘摇 要:针对印刷过程中被控对象因受工作环境影响而具有大滞后性、模型不确定性和时变性的特点,在满足色彩 质量要求的情况下,为了尽量减少印刷调整次数,首先,基于印刷色彩质量控制的理论模型设计了T-S型模糊控制 器;然后,采用遗传算法对模糊控制器的初始控制规则进行优化,使初始控制规则更逼近理论模型;最后,针对 1次 模糊控制产生的大误差提出了控制规则的自适应调整方法. 实例分析证明:调整方案有效,从理论上实现了对印刷 机进行不超过2次的调整,就可使色彩质量满足要求,提高了系统的控制精度,可用于指导实际印刷过程. 关键词:印刷色彩;模糊控制;遗传算法; 自适应调整 中图分类号:TP202 文献标志码:B 文章编号:0254-0037(2013)09-1303-08 Fuzzy Control of Printing Color Based on Genetic Algorithm and Adaptive Adjustment CHU Hong鄄yan,YANGJun鄄jing,CAI Li鄄gang,SU Lei (College of Mechanical Engineering and Applied ElectronicsTechnology,Beijing University of Technology,Beijing 100124,China) Abstract:The controlled object hasthe characteristicsof largelag,model uncertainty andtimevariation due totheinfluenceofworkingenvironmentinprintingprocess,andtheprintingprocessrequiresthatthe number of printing adjustment should be reduced as far as possible in the situation of meeting the color quality requirements. In order to solve these problems,a T鄄S fuzzy controller based on the theoretical model ofprintingcolorqualitycontrolisdesigned,andthegeneticalgorithmisusedtooptimizetheinitial control rules of fuzzy controller to make them more approximate to theoretical model. Finally,aiming at the big error generating after once adjustment,the method of adaptive adjustment is put forward. Thus, printing quality canbesatisfiedthroughlessthantwiceadjustmentsintheory,andthecontrolprecisionof this system is improved. An instance demonstratesthat this method isvalid,which can be used to guide