An improved nonlinear model predictive direct speed control of permanent magnet synchronous motors

被引:17
|
作者
Younesi, Aria [1 ]
Tohidi, Sajjad [1 ]
Feyzi, Mohammad Reza [1 ]
Baradarannia, Mehdi [1 ]
机构
[1] Univ Tabriz, Elect & Comp Engn, Tabriz, Iran
来源
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS | 2018年 / 28卷 / 05期
关键词
nonlinear model predictive control (NMPC); direct speed control (DSC); permanent magnet synchronous motor (PMSM); optimal control; inverter switching frequency; DIRECT TORQUE CONTROL; FINITE-CONTROL-SET; RIPPLE MINIMIZATION; INDUCTION MACHINES; PMSM; SCHEME;
D O I
10.1002/etep.2535
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
Field-oriented control (FOC) is one of the most effective techniques widely used in industry for speed control of permanent magnet synchronous motor. However, the main drawback of such linear controller with cascade structure is its limited bandwidth to avoid large overshoots and ringing. This problem significantly increases the switching frequency. To overcome this problem, this paper proposes a novel nonlinear model predictive control (NMPC) scheme for direct speed control of the permanent magnet synchronous motor to minimize the inverter switching frequency. The proposed NMPC suggests different sampling times in the prediction process to increase the prediction horizon. It also presents an incremental algorithm to reduce the computational time, rendering it suitable for real-time applications. The performance of the proposed NMPC method is compared with an optimum FOC scheme via simulations performed by MATLAB/Simulink software. The results show that the proposed method provides improved speed tracking performance as well as lower electromagnetic torque ripple. In addition, the inverter average switching frequency with the proposed control approach is almost 10 times lower than that with the FOC approach.
引用
收藏
页数:15
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