Speed Sensorless Control of IPMSM With Model Predictive Current Control Plus Finite Position Set MRAS Observer

被引:2
作者
Yang, Yifei [1 ]
Sun, Xiaodong [2 ]
Cai, Feng [2 ]
机构
[1] Suzhou Vocat Univ, Sch Mech & Elect Engn, Suzhou 215100, Peoples R China
[2] Jiangsu Univ, Automot Engn Res Inst, Zhenjiang 212013, Peoples R China
关键词
Stators; Rotors; Adaptation models; Observers; Resistance; Voltage; Sensorless control; Predictive models; Motors; Vectors; Finite position set (FPS); interior permanent-magnet synchronous motor (IPMSM); model predictive current control (MPCC); model reference adaptive system (MRAS); EXTENDED KALMAN FILTER; DIRECT TORQUE CONTROL; PMSM; DRIVES;
D O I
10.1109/TTE.2024.3471083
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This article introduces an improved model predictive current control (MPCC) with the finite position set model reference adaptive system (FPS-MRAS) observer for speed sensorless control of an interior permanent-magnet synchronous motor (IPMSM). The voltage and current at the (k)th moment are used to calculate the back electromotive force (EMF), which will predict the current at the (k + 1)th moment. Otherwise, the current delay compensation is introduced to further improve the dynamic performance and solve the delay problem. The FPS-MRAS is proposed to replace the traditional proportional-integral (PI) controller, which usually needs lots of work to tune the parameters. The discrete rotor position angles are used to calculate discrete stator fluxes, which are applied to form the cost function. An iterative algorithm with the binary circle is introduced to increase the estimation accuracy with finite angles. In the end, the dynamic performance of these methods is compared via experiments under different conditions.
引用
收藏
页码:4755 / 4764
页数:10
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