重型载运工具及重型动力装备多目标振动控制研究  

Research on Multi-Objective Vibration Control of Heavy-Duty Vehicles and Heavy Power Equipment

作　　者：黄伟 

机构地区：[1]国机集团科学技术研究院有限公司,国机集团工程振动控制技术研究中心,北京

出　　处：《动力系统与控制》2025年第1期30-36,共7页Dynamical Systems and Control

基　　金：国家重点研发计划“地下城轨交通综合体振动及结构安全控制方法研究与应用”(课题编号:2024YFF0508104)。中国机械工业集团青年基金重点项目“大科学工程群微纳级环境振动控制关键技术研究与应用”。

摘　　要：重型载运工具及重型动力装备振动控制中存在一类矛盾振动问题,即前者如何兼顾控制环境振动影响以及轿厢人员舒适,后者如何统筹平衡装备自身振动水平以及传递至外界环境的扰动。本研究基于多目标粒子群优化算法,对提出的多目标振动问题进行了优化,基于得到的Pareto解集,对隔振体系进行了优化设计,并对不同振动荷载形式的输入进行了分类研究,结果表明荷载不同,隔振体系的多目标优化设计结果和规律不同,应在工程设计中进行针对性设计。本研究对于实际工程具有重要的指导意义,是对传统单目标振动控制设计的重要补充和拓展。In the realm of vibration control for heavy-duty vehicles and power equipment, a contradictory challenge arises: how to mitigate the impact of environmental vibrations while ensuring the comfort of personnel in the former, and how to balance the inherent vibration levels of the equipment with disturbances transmitted to the external environment. This study employs a multi-objective particle swarm optimization algorithm to address this complex multi-objective vibration problem. By utilizing the derived Pareto solution set, vibration isolation systems excited by various forms of input vibrations are optimized and designed. The findings indicate that both the outcomes and governing principles of multi-objective optimization for the vibration isolation system vary depending on different loading conditions. Therefore, tailored designs must be implemented during engineering practices. This research provides significant guidance for practical engineering applications and serves as an important enhancement to traditional single-objective vibration control methodologies.

关 键 词：重型载运工具 重型动力装备 多目标粒子群优化算法 多目标振动控制 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]