Discrete-Time Parameter Identification of a Surface-Mounted Permanent Magnet Synchronous Machine

作     者：Gatto, Gianluca Marongiu, Ignazio Serpi, Alessandro 

作者机构：Univ Cagliari Dept Elect & Elect Engn I-09123 Cagliari Italy 

出 版 物：《IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS》 (IEEE Trans Ind Electron)

年 卷 期：2013年第60卷第11期

页      面：4869-4880页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0804[工学-仪器科学与技术] 0811[工学-控制科学与工程] 

主　　题：Field programmable gate arrays (FPGAs) model reference adaptive control parameter identification permanent magnet machines predictive control 

摘      要：A novel online discrete-time parameter identification algorithm suitable for surface-mounted permanent magnet synchronous machines (SPMs) is presented in this paper. It is developed by means of the model reference adaptive system technique and the Popov Hyperstability Criterion in order to identify SPM discrete-time model parameters. In particular, good accuracy of discrete-time parameters is required by digital control systems, particularly by predictive control algorithms, which present a low robustness against parameter mismatches. Hence, an extensive simulation study is first carried out in the Matlab Simulink environment with the aim of testing the effectiveness and robustness of the proposed identification algorithm against inverter unidealities. Then, the proposed identification procedure is experimentally validated on a predictive controlled radial-flux SPM, driven by a field programmable gate arrays control board.