유전자 알고리즘을 활용한 휠 브레이크 유압 유닛의 동특성 해석

초록

Automation of quay cranes has increased operating frequency, exposing wheel brake systems to more severe repetitive duty cycles and making stability and reliability essential. In this study, the optimal operating conditions of a wheel brake hydraulic unit were derived using AMEsim-based modeling and a genetic algorithm. The simulation results showed that the average torque decreased by approximately 1.5 N·m, while the target pressure of 140 bar and piston force of 47,000 N were maintained. The reduced pump speed lowered the pump output and achieved an energy consumption reduction of approximately 52%. These results indicate that optimizing the operating conditions of the hydraulic unit contributes to improved energy efficiency and system stability.

키워드