Study on Optimal Design of Planetary Gear Reducer Based on Particle Swarm Algorithm and Matlab

Planetary gear reducer is a typical device of power or motion transmission. The design of power planetary gear reducer may lead to significant effects on manufacturing, maintenance, operation and usability of an entire mechanical system. The optimal design of planetary gear reducer is to improve its loading capacity when its volume is reduced, weight lighted, efficiency raised and its service life prolonged. The optimization design of planetary gear reducer is a Constrained Optimization problem (CO). Compared with deterministic methods and Genetic Algorithms (GA), Particle Swarm Optimization Algorithm (PSO) is a good method in solving planetary gear reducer optimal problem. In this paper, we mainly introduce the optimal design of planetary gear reducer based on Particle Swarm Optimization Algorithm and MATLAB. Directed by the theory of Particle Swarm Optimization Algorithm, the complex planetary gear reducer optimal design model with eight design variables and eighteen inequality constraints conditions is established. When the model is simulated in MATLAB the minimal optimal value of variables and weight of planetary gear reducer can be obtained. Simulating Result shows that Particle Swarm Optimization is practical in solving complicated optimal design problems and effectively on avoiding constraint of solution and the optimal design of planetary gear reducer can be realized.