Multiobjective optimal design of planetary gear transmission system based on improved particle swarm optimization algorithm

For the multi-objective optimization problem of complex planetary gear Transmission systems, the improved particle swarm optimization (PSO) can better handle issues such as non-convergence and local optimum under complex constraints. Using penalty-function-based improved PSO for multi-stage planetary gear Transmission system multi-objective optimization design, with objectives of minimizing weight and maximizing transmission efficiency, and considering boundary constraints for optimization analysis. Results show the optimized transmission system's total volume decreases by 11.1%, and efficiency increases by 0.09%.