基于量子粒子群算法优化遗传算法的卧式储油罐变位识别模型研究  

Research on Dislodging Recognition Model of Horizontal Oil Tank Based on Quantum Particle Swarm Optimization and Genetic Algorithm

作　　者：邱靖[1] 吴瑞武[2] 彭莞云 于学媛[1] 

机构地区：[1]云南农业大学教务处,云南昆明650201 [2]云南农业大学基础与信息工程学院,云南昆明650201 [3]云南农业大学植物保护学院,云南昆明650201

出　　处：《石油化工设备》2015年第5期36-39,共4页Petro-Chemical Equipment

摘　　要：针对卧式储油罐变位会对罐容表的读数造成一定影响的问题,利用定积分思想建立了储油量、油位高度与倾斜角间的数学模型。求最优变位角时,利用量子粒子群算法优化遗传算法中的交叉和变异算子,对罐容表进行了重新标定。实验研究结果表明,该模型的相对误差和运行时间明显高于其他两种模型,说明该模型有效可行。For horizontal oil tanks displacement can cause certain influence on the capacity table reading,the definite integral thought was used to establish a mathematical model about oil reserves,oil level height and tilt angle.When seeking the optimal displacement angle,tank capacity charts has been re-calibrated to make use of the quantum particle swarm optimization genetic algorithm crossover and mutation operator.Experimental study have been carried out at the same time,the experimental results have showed that,the relative error and running time of the model is significantly higher than the other two models,indicating that the model is feasible and effective.

关 键 词：卧式储油罐 变位 标定模型 量子粒子群算法 遗传算法 

分 类 号：TQ050.7[化学工程] TE972[石油与天然气工程—石油机械设备]