控制理论(社会学)
控制器(灌溉)
扭矩
转子(电动)
非线性系统
估计理论
磁阻
信号(编程语言)
识别方案
控制工程
转动惯量
计算机科学
工程类
磁铁
物理
机械工程
算法
控制(管理)
操作系统
过程(计算)
量子力学
人工智能
农学
生物
程序设计语言
热力学
作者
Chengbo Yang,Bao Song,Yuanlong Xie,Shaowu Lu,Xiaoqi Tang
标识
DOI:10.1109/tie.2022.3161760
摘要
The mechanical parameters, including the Coulomb and viscous friction coefficients together with the moment of inertia, are of great interest for the performance optimization and condition evaluation of surface-mounted permanent magnet synchronous motor (SPMSM) drives. This article contributes a speed-controller-independent mechanical parameter identification scheme using open-loop speed response due to signal injection, which has not been reported in existing works. It is designed based on the premise that the viscous friction torque is disproportional to the rotor speed, which is a new progress toward estimating the mechanical parameters with high precision. Moreover, as a practical full-participation-type solution, this scheme involves a new electrical parameter estimation technique based on differential algebra to assist in identifying the mechanical parameters. This auxiliary technique attains the current-controller-free estimation of the electrical parameters with the inverter nonlinearity eliminated, thereby addressing the current controller self-commissioning and serving to acquire the accurate electromagnetic torque. The experimental evaluations on two prototype SPMSM drive systems validate the feasibility of this suggested scheme.
科研通智能强力驱动
Strongly Powered by AbleSci AI