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中文摘要：
传统动力设备的隔振,往往仅着眼于设备本身的振动抑制,而将其连接基础视为绝对刚性,忽略其振动.考虑＂设备-隔振器-薄板基础＂为复合隔振体系,设备通过4点安置在薄板上;并基于机械四端连接特性,推导了力的传递率.随后,在固支薄板振动分析的基础上,引入功率流理论,提出了多目标优化策略：使多点安置的设备隔振体系输入薄板的峰值功率流最小;与此同时,使动力设备尽可能地趋于均匀振动,以降低设备振动损害.多目标粒子群优化算法具有参数设置少,收敛快,优化能力强等优点,且可基于Pareto支配获得最优解.该研究将设备隔振、薄板振动、功率流传递以及智能多目标优化技术结合,固支薄板振动理论作为切入点为优化策略创造了有利条件.多目标粒子群优化算法的应用亦为工程隔振及振动控制提供了新思路.
英文摘要：
The traditional vibration isolation methods were often aimed at the suppression of the power equipment vibration only, but the vibration participation of the simplified rigid foun- dation was usually ignored in practice. The ＇ power equipment-isolator-thin plate＇ combination was considered as a composite vibration isolation system where the equipment was 4-point in- stalled, and the transmitted forces from the equipment to the plate foundation were derived ac- cording to the mechanical 4-pole connection properties. In turn, the multi-objective optimiza- tion was performed in which the minimum power flow transmitted to the plate and the uniform vibration of the power equipment were defined as the fitness functions, and the purpose of the latter one was to sustain normal work and service life of the equipment. The multi-objective par- ticle swarm optimization （MOPSO） algorithm was selected as the optimization tool in view of the advantages of less parameter settings, fast convergence, strong optimization capability and unique global optimal solution based on the Pareto dominance. This study combined together the power equipment vibration isolation, the thin plate vibration, the power flow transmission and the intelligent multi-objective optimization; in addition, a latest vibration theory for clamped plates aptly supported this strategy. The application of the MOPSO promotes the tradi- tional view of vibration isolation and control.
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