工作状态中的振动系统惯性参数识别  

Inertial Parameter Identification of Vibration System under the Working State

作　　者：杨啟梁[1] 何洲 胡溧[1] YANG Qi-liang;HE Zhou;HU Li(School of Automobile and Traffic Engineering,Wuhan University of Science and Technology,Hubei Wuhan 430081,China)

机构地区：[1]武汉科技大学汽车与交通工程学院,湖北武汉430081

出　　处：《机械设计与制造》2021年第9期1-4,共4页Machinery Design & Manufacture

基　　金：国家自然科学基金资助项目(51105283)。

摘　　要：为了解决直接利用工作状态振动信号识别振动系统惯性参数问题,引入萤火虫算法。建立系统的振动微分方程,并用Matlab/Simulink求解其加速度响应,以加速度均方根值误差为算法的目标函数。采用Logistic映射并优选初始萤火虫种群,引入可变步长改进算法收敛速度,提高识别精度。以二自由度振动系统为例,该方法仅利用系统两端的竖向振动加速度就能进行系统的参数识别。参数识别实验表明,采用改进的萤火虫算法可以准确识别出工作状态下的振动系统惯性参数,使参数识别更加简单快速准确。In order to solve the problem of identifying the inertial parameters of the vibration system by using the vibration signals of the working state directly,the firefly algorithm is introduced.Establishing the vibration differential equation of the system,and the acceleration response of the system was solved by Matlab/Simulink.The objective function of the FA was constructed by the root mean square error of acceleration.Using Logistic mapping and optimizing the initial firefly population,the variable step size is introduced to improve the convergence speed and the recognition accuracy of the algorithm.Taking the two DOFs vibration system as an example,the method can identify the parameters of the system only by using the vertical vibration acceleration at both ends of the system.The experiment of parameter identification shows that the improved firefly algorithm can accurately identify the inertial parameters of the vibration system,making parameter identification easier,faster and more accurate.

关 键 词：振动系统 萤火虫算法 目标函数 参数识别 

分 类 号：TH16[机械工程—机械制造及自动化] O39[理学—工程力学]