基于粒子群算法的隔振体系参数优化研究

发布时间：2018-01-30 01:57

本文关键词： 粒子群算法单目标多目标传递率传递函数矩阵无穷范数状态反馈控制控制力传递率　出处：《湖南大学学报(自然科学版)》2014年11期 　论文类型：期刊论文

【摘要】：首先利用粒子群优化算法,以传递率为适应值函数,分别对单自由度、双自由度隔振体系进行了隔振参数的单目标和多目标优化研究.随之,考虑了状态反馈控制方法,目标函数选为传递函数矩阵的无穷范数;数值试验表明,在无控最优隔振参数的基础上,施加反馈控制,并不能进一步优化隔振体系;而重新在线计算隔振参数及反馈控制器,可以进一步优化原无控最优隔振体系.最后,进行了兼顾控制力传递率的多目标研究,旨在优化隔振体系传递率的同时,尽可能降低控制能源消耗.本文的系统研究,解决了隔振体系参数的最优设计问题;并在隔振基础上施加控制体系,讨论了最优参数设置的重要性;此外,兼顾控制能源消耗的参数优化,对于传统的隔振和控制体系设计具有一定的创新意义.
[Abstract]:Firstly, using particle swarm optimization (PSO) algorithm and taking transfer rate as fitness function, the single and multi-objective optimization of isolation parameters of single degree of freedom system and two-degree-of-freedom isolation system are studied respectively. The state feedback control method is considered and the objective function is chosen as the infinite norm of the transfer function matrix. Numerical experiments show that the feedback control can not further optimize the vibration isolation system on the basis of the uncontrolled optimal vibration isolation parameters. Recalculating the vibration isolation parameters and feedback controller can further optimize the original uncontrolled optimal vibration isolation system. Finally, the multi-objective study considering the control force transfer rate is carried out. The purpose of this paper is to optimize the transmission rate of vibration isolation system and to reduce the energy consumption as much as possible. The importance of optimal parameter setting is discussed by applying control system on the basis of vibration isolation. In addition, the parameter optimization of energy consumption control has some innovation significance for the traditional vibration isolation and control system design.
【作者单位】：合肥工业大学土木与水利工程学院;安徽土木工程结构与材料省级实验室;中国机械工业集团公司;合肥工业大学机械与汽车工程学院;
【基金】：国家自然科学基金资助项目(51078123,51179043)
【分类号】：TU352.12
【正文快照】： 单自由度、双自由度体系是研究设备振动隔离的主要模型方法,且隔振体系性能与隔振参数关系密切,选择合适的参数,能提高系统的隔振性能,如果参数选择不当,就会适得其反,所以隔振参数的优化研究显得非常必要.文献[1]将遗传算法与最大熵法结合,给出了两级隔振系统参数优化设计的

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