Optimization of hinge point in luffing mechanism of aerial working vehicle based on PSO algorithm

Luffing mechanism is one of the important parts aerial working vehicle, which plays a decisive role in overall stability boom system, force luffing cylinder and at each hinge point position. In this paper, five vehicle taken as research object, its under dangerous conditions optimized. By studying principle system analysis mechanism, then establishing mechanical model, objective function was optimized based on particle swarm algorithm Matlab. The optimization results show that maximum decreases by 18.9% with points, greatly improves performance whole machine provides reference for application construction machinery.