Generalized Sequential Model Predictive Control of Induction Motor Drives

被引：0

作者：

Zhang, Yongchang ^{[1
]}

Zhang, Boyue ^{[1
]}

Yang, Haitao ^{[2
]}

Norambuena, Margarita ^{[3
]}

Rodriguez, Jose ^{[3
]}

机构：

[1] North China Univ Technol, Inverter Technol Engn Res Ctr Beijing, Beijing, Peoples R China

[2] Univ Technol Sydney, Sydney, NSW, Australia

[3] Univ Andres Bello, Santiago, Chile

来源：

2018 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS) | 2018年

基金：

中国国家自然科学基金; 北京市自然科学基金;

关键词：

FLUX CONTROL; TORQUE;

D O I：

暂无

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：

A very simple sequential model predictive control (SMPC) is recently proposed to achieve high performance control of induction motor (IM) drives. By evaluating two separate cost functions for torque and stator flux amplitude in a cascaded way, the weighting factor in conventional MPC is eliminated. However, SMPC cannot achieve stable operation over the full speed range. if the cost function for stator flux is firstly evaluated. This paper proposes a generalized SMPC which is effective when any one of the two cost functions is firstly evaluated. This increases the stability and universality of conventional SMPC. The experimental results confirms the effectiveness of the proposed method.

引用

页码：1285 / 1290

页数：6

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