Double-stage multi-objective optimized design for cycloid pinwheel reducer based on genetic algorithm

In order to improve the operating performance for cycloid pinwheel reducer in fields of transmission efficiency, compacted structure, load-bearing capacity, and tooth profile modification. A double-stage multi-objective optimized method is proposed that considers for parameters of structure and modification. Firstly, taking the high transmission efficiency and small volume of reducer as objectives, the constraint conditions included structural parameter size and strength limitations were analyzed. Based on genetic algorithm, the mathematical model for structural parameters of cycloid pinwheel reducer was established as the first-stage optimization; secondly, the algorithm of meshing force and the deviation between rotated angle modification and equidistance and moved distance combination modification were derived, taking the low meshing force and deviation as objectives, the theoretical model for modification parameters of equidistant and moved distance amount was proposed as the second-stage optimization. The results indicate that the comprehensive performance for cycloid pinwheel reducer can be improved effectively after optimization.