Current-Controller-Free Self-Commissioning Scheme for Deadbeat Predictive Control in Parametric Uncertain SPMSM

被引:9
|
作者
Long, Jiang [1 ]
Yang, Ming [1 ]
Chen, Yangyang [1 ]
Liu, Kaiyuan [1 ]
Xu, Dianguo [1 ]
机构
[1] Harbin Inst Technol, Sch Elect Engn & Automat, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Inductance; Uncertainty; Stators; Permanent magnet motors; Synchronous motors; Inverters; Predictive control; deadbeat predictive control; parameter mismatch; current-controller-free;
D O I
10.1109/ACCESS.2020.3043751
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Deadbeat predictive control (DBPC) requires accurate model parameters in its application, therefore it is difficult to use DBPC for surface mounted permanent magnet synchronous motor (SPMSM) with uncertain motor parameters. As a solution, this paper proposes a strategy to obtain the needed parameters, and then uses them to achieve DBPC on SPMSMs whose parameters are unknown. A detailed investigation on parameter sensitivity of DBPC is presented, and attention is paid to different influences between the incremental inductance and the apparent inductance. On this basis, parameter configurations in the DBPC are suggested. And novel current-controller-free self-commissioning schemes are proposed to identify the stator resistance together with the stator inductances under different magnetic saturation levels. Compared with existing commissioning schemes that do not depend on current controllers, solutions for commissioning voltage auto-tuning is provided. So the methods are able to automatically decide the amplitudes of the injected voltage for a given motor, and achieve a controllable current feedback during the commissioning. This brings significant convenience for the inductance identification at a specific saturation level. Moreover, the inverter nonlinearity compensation is not needed but still, identification accuracy can be guaranteed. The feasibility and effectiveness of the proposed method are confirmed by the achieved DBPC and the corresponding current tracking performances on two different SPMSMs.
引用
收藏
页码:289 / 302
页数:14
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