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.
The PSO technique was utilized,and the transmissibility was defined as the fitness function for the purpose of performing single optimization and multi-objective optimization of isolation parameters of1 dof and 2dof system respectively.Meanwhile,the feedback control method was considered,and the infinity norm of transfer function matrix was chosen as the fitness.The numerical results revealed that state feedback control could not further optimize the uncontrolled system based on the optimal parameters;however,recalculated operation of the isolation parameters and the controller could achieve this.Finally,the optimization gave consideration to the transmissibility of the control force in purpose of minimizing the energy consumption while optimizing the parameters.Systematic study of this paper could solve the problem of the optimal design parameters of vibration isolation system,and the importance of optimal parameter settings was discussed when control was exerted on the isolation system.Moreover,taking into account the control energy consumption while parameters optimization being performed could have some innovative for traditional isolation and control design.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2014年第11期58-66,共9页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目(51078123
51179043)
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
PSO
single-objective
multi-objective
transmissibility
transfer function matrix
infinity norm
state feedback control
control force transmissibility
