基于粒子群算法的压电悬臂梁振动主动控制

V. Raju, D. Maheswari, S. Patnaik
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引用次数: 8

摘要

本文介绍了用有限差分法建立柔性梁结构动力模型的方法。通过与理论值的比较,验证了仿真模型的正确性。采用自然智能方法粒子群优化(PSO)对梁进行振动控制,并与遗传算法(GA)进行了比较。数值仿真结果表明,采用上述方法均能达到较好的减振效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active vibration control of piezo actuated cantilever beam using PSO
This correspondence presents the development of dynamic model of flexible beam structure using finite difference (FD) method. The simulated model is validated by comparing the resonance modes with the theoretical values. A nature inspired intelligence method, the Particle Swarm Optimization (PSO), is used for the vibration control of the beam and the results are compared with genetic algorithm (GA) approach. The numerical simulation shows that sufficient vibration suppression can be achieved by means of these methods.
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