Research on Optimization of Center of Gravity Trajectory of Balanced Crane Based on Particle Swarm Optimization Algorithm
This paper studies the influence of center of gravity motion trajectory on the power consumption of the balanced crane,analyzes the working principle of the balanced crane through statics and virtual displacement principles,determines the center of gravity position of the rod system using the finite segmentation method,conducts kinematic analysis using the complex vector method,and proposes a particle swarm optimization method for the center of gravity trajectory.By comparing the power consumption before and after optimization,it is proven that this method is effective.
balancing craneenergy savingthe principle of virtual displacementparticle swarm optimization
NETL
NSTL
万方数据
