To decrease the impact of shorter product life cycles,dynamic cell formation problems(CFPs)and cell layout problems(CLPs)were simultaneously optimized.First,CFPs and CLPs were formally described.Due to the changes of ...To decrease the impact of shorter product life cycles,dynamic cell formation problems(CFPs)and cell layout problems(CLPs)were simultaneously optimized.First,CFPs and CLPs were formally described.Due to the changes of product demands and the lim it of machine capacity,the existing layout needed to be rearranged to a high degree.Secondly,a mathematical model was established for the objective function of minimizing the total costs.Thirdly,a novel dynamic multi-swarm particle swarm optimization(DMS-PSO)algorithm based on the communication learning strategy(CLS)was developed.Toavoid falling into local optimum and slow convergence,each swarm shared their optimal locations before regrouping.Finally,simulation experiments were conducted under different conditions.Numerical results indicate that the proposed algorithm has better stability and it converges faster than other existing algorithms.展开更多
文中对有源电力滤波器(active power filter,APF)的多种拓扑结构和多种控制策略进行了分析研究,以控制负载谐波电流、电网谐波电流、滤波支路谐波电流、负载谐波电压4种基本控制策略为基础,对并联混合型APF、串联混合型APF以及APF与PF(p...文中对有源电力滤波器(active power filter,APF)的多种拓扑结构和多种控制策略进行了分析研究,以控制负载谐波电流、电网谐波电流、滤波支路谐波电流、负载谐波电压4种基本控制策略为基础,对并联混合型APF、串联混合型APF以及APF与PF(power filter,PF)串联后并入电网等几种典型的APF结构进行稳态和暂态分析,为合理选择APF结构及其控制策略提供理论依据。文中给出了APF工作在稳态和动态时实验波形,验证了理论分析的正确性,所得到的结论对APF的结构选择和实际应用具有一定的指导意义。展开更多
基金The National Natural Science Foundation of China(No.71471135)
文摘To decrease the impact of shorter product life cycles,dynamic cell formation problems(CFPs)and cell layout problems(CLPs)were simultaneously optimized.First,CFPs and CLPs were formally described.Due to the changes of product demands and the lim it of machine capacity,the existing layout needed to be rearranged to a high degree.Secondly,a mathematical model was established for the objective function of minimizing the total costs.Thirdly,a novel dynamic multi-swarm particle swarm optimization(DMS-PSO)algorithm based on the communication learning strategy(CLS)was developed.Toavoid falling into local optimum and slow convergence,each swarm shared their optimal locations before regrouping.Finally,simulation experiments were conducted under different conditions.Numerical results indicate that the proposed algorithm has better stability and it converges faster than other existing algorithms.
文摘文中对有源电力滤波器(active power filter,APF)的多种拓扑结构和多种控制策略进行了分析研究,以控制负载谐波电流、电网谐波电流、滤波支路谐波电流、负载谐波电压4种基本控制策略为基础,对并联混合型APF、串联混合型APF以及APF与PF(power filter,PF)串联后并入电网等几种典型的APF结构进行稳态和暂态分析,为合理选择APF结构及其控制策略提供理论依据。文中给出了APF工作在稳态和动态时实验波形,验证了理论分析的正确性,所得到的结论对APF的结构选择和实际应用具有一定的指导意义。