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基于改进PSO的复杂机械产品装配质量在线优化
引用本文:刘明周,赵志彪,葛茂根,王小巧,凌琳.基于改进PSO的复杂机械产品装配质量在线优化[J].农业机械学报,2013,44(6):246-252.
作者姓名:刘明周  赵志彪  葛茂根  王小巧  凌琳
作者单位:合肥工业大学机械与汽车工程学院,合肥,230009
基金项目:国家重点基础研究发展计划(973计划)资助项目(2011CB013406)
摘    要:通过构建面向装配精度的质量控制点公差分配模型,实现了装配过程中不同类型质量控制点间非线性耦合关系的量化表达,揭示装配误差累积规律;利用混沌理论与双阶段变异策略对多目标粒子群算法进行了改进;在装配过程开始前,计算各质量控制点公差初始分配结果,当上游质量控制点根据初始分配结果被实例化后,启动再分配机制,结合实例化数据对公差分配模型再次求解,为后续质量控制点实例化提供决策支持,实现装配质量在线优化和前馈控制;以某型主锥总成装配过程中选垫与主齿螺母拧紧工序为例,验证了理论的有效性和可行性.

关 键 词:复杂机械产品  装配质量  公差分配模型  多目标粒子群优化

Online Optimization for Assembly Quality of Complex Mechanical Products Based on Improved PSO
Institution:Hefei University of Technology;Hefei University of Technology;Hefei University of Technology;Hefei University of Technology;Hefei University of Technology
Abstract:The tolerance distribution model of quality control points oriented to assembly accuracy was established to characterize the nonlinear coupling relationship among the different kinds of quality control points and reveal accumulation law of assembly error. The chaos theory and two-stage variation strategy were adopted to improve multiple objective particle swarm optimization (MOPSO). Before the assembly process, the initial distribution results of quality control points were calculated. The redistribution mechanism was implemented when upstream quality control points were instantiated. Then the tolerance of downstream quality control points would be redistributed to provide decision support for the instantiation of subsequent quality control points. The online optimization and former feed-forward control of assembly quality were achieved. The online optimization of gasket-selection and tighten lock nut in the active gear axle assembly process was given to verify the feasibility and effectiveness of the proposed method.
Keywords:Complex mechanical products  Assembly quality  Tolerance distribution model  Multiple objective particle swarm optimization
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