Research of Multi-robot Parallel Assembly Optimization Base on PSO-SS

This paper researches into multi-robot parallel assembly optimization problem. The concepts of product parts system assembly proportion and assembly complexity are introduced with the parallel robot involved in product assembly process. A nonlinear optimization model is proposed to minimize the assembly complexity of product system. An improved PSO-SS co-evolution algorithm is presented, and a constraint handling mechanism based on the tolerance is provided in the PSO-SS algorithm. A case study of automobile car body is investigated. The experimental data are randomly generated from the range of parameters, and then the experiment result is described according to product assembly process, showing that the model and PSO-SS co-evolution algorithm is suitable for parallel assembly task allocation in automobile industry.