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作 者:王磊[1] 林文文[1] 屠建飞[1] WANG Lei;LIN Wen-wen;TU Jian-fei(Faculty of Mechanical Engineering & Mechanics,Ningbo University,Ningbo 315211,China)
机构地区:[1]宁波大学机械工程与力学学院,浙江宁波315211
出 处:《宁波大学学报(理工版)》2019年第2期23-29,共7页Journal of Ningbo University:Natural Science and Engineering Edition
基 金:国家自然科学基金(51605263);浙江省自然科学基金(LQ16G010002);宁波市自然科学基金(2017A610141)
摘 要:为了减少串行生产线上机器在饥饿或堵塞状态下的待机耗能,提出了对机器进行模糊控制启、停的节能方法.在不影响生产线产量的前提下,模糊控制器利用被控制机器上、下游缓存区的实时容量数据,确定该机器的最大节能停机时长,并通过遗传算法,以最大停机节能时长为目标函数,对模糊控制器的隶属函数进行优化,提高了模糊控制器的节能性能.仿真模型试验结果表明,相对于原始生产线,在运用经过优化的模糊控制器的串行生产线上,待机能耗降低达27.35%,并且生产线产量未受影响.In order to reduce the energy consumption of the machines in the state of starvation or blockage on the serial production line, an energy-saving method based on fuzzy control is proposed. The fuzzy controller uses the data of the real-time capacity of the upper and lower buffer of the controlled machine to determine the maximum energy-saving downtime of the machine, on the premise of not affecting the output. The energysaving performance of the fuzzy controller is improved by optimizing the membership function of the fuzzy controller by genetic algorithm. The experiment by simulation modeling indicates that in the serial production line with optimized fuzzy controller, the standby energy consumption is reduced by 27.35% compared with the original production line, with no influence on the output of the production line.
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