摘要
提出了一种基于满秩辨识方程的内置式永磁同步电机(IPMSM)多参数在线辨识方法。通过采集两组交直轴电流、电压及电角速度信号代入离散化电压方程,构建满秩辨识方程,解决了IPMSM多参数同时在线辨识时辨识方程存在的欠秩问题,实现了定子电阻、交直轴电感、永磁体磁链同时在线辨识。该辨识方法不依赖任何电磁参数设计值,且无需注入特殊的扰动信号。采用列文伯格-马奎特(LM)算法求解辨识方程,通过自适应更新阻尼因子,提高了迭代求解速度及求解精度。另外,通过Lyapunov稳定性理论,分析了电磁参数辨识过程的稳定性。仿真结果表明,所提出的辨识方法能够有效实现多参数同时在线辨识,快速准确地辨识参数,跟踪参数突变、缓变。并且无论电机运行在暂态还是稳态,该辨识方法总是有效的。
A multi-parameter online identification method based on full rank identification equation for interior permanent magnet synchronous motors(IPMSM)is proposed.By taking sample of two sets of quadrature axis and direct axis current,quadrature axis and direct axis voltage,electrical angular velocity signals,and substituting them into discrete voltage equation,the full rank identification equation is constructed,which effectively solves the problem of rank-deficient and realizes simultaneous online identification of stator resistance,quadrature axis inductance,direct axis inductance,and permanent magnet flux.This identification method does not rely on any design value of electromagnetic parameters and does not need to inject special disturbance signal.The Levenberg-Marquardt(LM)algorithm is used to solve the identification equation,and the iterative speed and solving precision can be improved effectively by updating the damping factor adaptively.In addition,the stability of electromagnetic parameters identification process is analyzed by Lyapunov stability theory.The simulation results show that the proposed identification method can realize multi-parameter simultaneous online identification,identify the parameters quickly and accurately,track the parameters mutation and slow change.Moreover,this identification method is always effective,regardless of whether the motor is running in transient or steady state.
作者
孙凯翔
胡兆稳
阚超豪
彭群
丁曙光
王伟
Sun Kaixiang;Hu Zhaowen;Kan Chaohao;Peng Qun;Ding Shuguang;Wang Wei(College of Mechanical Engineering,Hefei University of Technology,Hefei 230000,China;College of Electrical and Automation Engineering,Hefei University of Technology,Hefei 230000,China)
出处
《电子测量技术》
2018年第24期112-118,共7页
Electronic Measurement Technology
基金
国家自然科学基金(51377040
51475135)项目资助
作者简介
孙凯翔,硕士研究生,主要研究方向为永磁同步电机参数辨识及无传感器控制技术。E-mail:kx.sun@hotmail.com;胡兆稳(通信作者),博士、副教授,主要研究方向为交流电机及其控制技术。
