文献类型：会议论文

英文题名：Dynamic Analysis and System Identification of a Synchronous Belt Mechanism Driven by PMSM

作者：Wang, Yulin[1];Liu, Huanlao[1];Liu, Haitao[1];Zhao, Jiapeng[1]

机构：[1]Guangdong Ocean Univ, Sch Mech & Power Engn, Zhanjiang, Peoples R China

会议论文集：3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE)

会议日期：AUG 17-19, 2017

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：dynamic formulation; parameter identification; permanent magnet synchronous motor (PMSM); genetic algorithm (GA); EtherCAT

外文摘要：In this paper, Newton's law and Euler equation is employed to derive dynamic formulation of a SPE workstation driven by PMSM. The dynamic formulations can be expressed by some independent variables. In order to verify this dynamic formulation is correct, we reduce the flexible model to the rigid one under some assumptions, and adopt the genetic algorithm (GA) to identify all the parameters of the mechanism and PMSM simultaneously. It turned out that the GA can identify model parameters which are difficult to measure in practical, such as inductance, stator resistance, motor torque constant, damping coefficient of the PMSM and timing belt. In order to verify the identification result is feasible, the angular displacements of the timing belt mechanism driven by PMSM was obtained in the numerical simulations and experimental results. From their comparison, it suggest that the dynamic model identified sufficient for a input-output model within a modelling accuracy of -0.3-0.3rad, such the identified model presents better matching with experimental results of the system.