Optimization Design of Distributed Drive Vehicle Reducer Based on Improved Particle Swarm Optimization Algorithm

摘要

Aiming at the compact structure of the wheel side of the distributed drive vehicle, this paper proposed to optimize the volume of the planetary gear reducer of the wheel side drive system as the optimization goal. Under the condition of satisfying performance and planetary gear matching constraints, the improved particle swarm optimization (PSO) algorithm was used to optimize the design of the original planetary gear reducer. The fuzzy system was used to adaptively optimize the inertia weight of the PSO algorithm, and two learning factors were changed linearly as the iteration progressed. The volume of the optimized planetary gear reducer was 663589.9 mm^{3, which was 33.31% less than the volume before optimization of 994987.5 mm3. ADAMS software was used to model the optimized planetary gear parameters and performed kinematics and dynamics simulations, the rationality of the planetary gear parameters optimized by the improved PSO algorithm was verified, and the impact load of the gear can be effectively reduced.}