Abstract In order to include the dynamic behavior of a mechanical system, consisting of a position controlled, periodically moving, parallel manipulator and its supporting frame in the motion design a computer model is developed. For the identification of unknown model parameters a method is presented which is based on the process value curve of the motion control system and the measured vibration response of the frame. By means of kinematic and kinetic analyses of the mechanism, varying parameter matrices of the system and excitation forces acting on the frame are determined. Subsequently the frequency response function is calculated and the unknown parameters identified using a particle swarm optimization algorithm.

中文翻译：

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使用频率响应分析和粒子群算法进行轨迹优化的动力机械系统参数识别案例研究

摘要 为了在运动设计中包含由位置控制、周期性运动、平行机械臂及其支撑框架组成的机械系统的动态行为，开发了一个计算机模型。对于未知模型参数的识别，提出了一种基于运动控制系统过程值曲线和测量的框架振动响应的方法。通过机构的运动学和动力学分析，确定了系统的变化参数矩阵和作用在框架上的激振力。随后计算频率响应函数并使用粒子群优化算法识别未知参数。