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基于驱动谱迭代修正算法的三轴随机振动控制研究 被引量:2

Research on Triaxial Random Vibration Control Algorithm Based on Iterative Correction of the Drive Spectrum
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摘要 经典的矩阵微分多输入多输出随机振动控制算法需要进行矩阵分解或矩阵微分等运算,计算复杂,不利于实时应用。针对一类低相干系数的多轴随机振动试验场景,利用牛顿法推导激励谱迭代方程,提出一种驱动谱迭代修正算法,简化了控制计算量,提高控制实时性。对算法收敛性和增益因子进行理论分析,并利用数值仿真在对算法进行验证。最后,利用三轴向振动台与集成该算法的多输入多输出振动控制器进行三轴向振动试验研究,结果表明:基于牛顿迭代法的驱动谱迭代修正算法在多输入多输出随机振动试验对功率谱控制试验中取得了良好的控制精度,满足工程应用需求。 In classic matrix differential multiple-input multiple-output random vibration control algorithm,matrix decomposition and matrix differentiation operation is needed,which is complicated in calculation and is not conducive to real-time applications.Aiming at a kind of multi-axis random vibration tests with low coherence coefficient,Newton method was used to derive the excitation spectrum iterative equation,and an iterative correction algorithm was proposed for the drive spectrum,by which the control calculation was simplified and the real-time performance was improved.The algorithm s convergence and the gain factor were theoretically analyzed.Numerical simulation was done to verify the algorithm.Finally,the three-axis vibration test was carried out.The results show that good control accuracy has been achieved in the power spectrum control test,which meets the needs of engineering applications.
作者 陈广初 邓彬 陈旭雯 CHEN Guangchu;DENG Bin;CHEN Xuwen(Nanshan Bureau,Foshan Supervision Testing Center of Quality and Metrology,Foshan Guangdong 528200,China;The State Key Lab of Fluid Power Transmission and Control,Zhejiang University,Hangzhou Zhejiang 310027,China;Zhejiang Premax Technology Co.,Ltd.,Ningbo Zhejiang 315103,China)
出处 《机床与液压》 北大核心 2022年第17期206-210,共5页 Machine Tool & Hydraulics
关键词 三轴振动 多输入多输出 驱动谱迭代修正算法 增益因子 振动控制 Triaxial vibration Multi-input multi-output Iterative correction algorithm of the drive spectrum Gain factor Vibration control
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  • 1陈家焱..多点激励振动试验系统的控制策略研究[D].浙江大学,2011:
  • 2崔旭利..多输入多输出随机振动试验控制算法及若干问题研究[D].南京航空航天大学,2011:
  • 3陈宇..多轴振动试验系统台体结构设计及控制技术研究[D].浙江大学,2015:
  • 4高贵福,王刚,赵保平.一种新的多维随机振动试验控制算法——矩阵微分法[J].强度与环境,2008,35(5):38-42. 被引量:5

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