Optimization of Pulse CVT Based on Improved Particle Swarm Algorithm

In order to solve the problem that the output speed of the CVT is too high, an optimization of Pulse CVT Based on Improved Particle Swarm Algorithm is proposed. Firstly, an improved particle swarm optimization (PSO) algorithm is proposed, which can improve the accuracy and efficiency of the algorithm by replacing the original velocity and the cognitive part with the chaotic mutation. Secondly, the transmission size parameter is used as the evaluation index of particle swarm optimization algorithm. The fitness function of the pulse continuously variable transmission is established based on the constraints of the length of the rod and the constraint of the transmission angle. Finally, the improved particle swarm optimization algorithm and particle swarm optimization algorithm are used to obtain the optimal solution. The results show that the accuracy and robustness of the improved particle swarm algorithm is improved by an order of magnitude, the solution time is reduced by 70%, and the optimal transmission speed is decreased by about 41%.