Torque Disturbance Observer Based Model Predictive Control for Electric Drives

被引：0

作者：

Mei, Xuezhu ^{[1
]}

Lu, Xiaoquan ^{[2
]}

Davari, Alireza ^{[3
]}

Jarchlo, Elnaz Alizadeh ^{[4
]}

Wang, Fengxiang ^{[5
]}

Kennel, Ralph ^{[1
]}

机构：

[1] Tech Univ Munich, Chair Elect Drive Syst & Power Elect, Munich, Germany

[2] State Grid Corp China, State Grid Jiangsu Elect Power Res Inst, Nanjing, Jiangsu, Peoples R China

[3] Shahid Rajaee Teacher Training Univ, Sch Elect Engn, Tehran, Iran

[4] Univ Carlos Third Madrid, Dept Telemat, Madrid, Spain

[5] Chinese Acad Sci, Quanzhou Inst Equipment Mfg, Quanzhou, Fujian, Peoples R China

来源：

9TH ANNUAL POWER ELECTRONICS, DRIVES SYSTEMS, AND TECHNOLOGIES CONFERENCE (PEDSTC2018) | 2018年

关键词：

model predictive control; electric drives; disturbance observer;

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：

Model predictive control (NIPC) based electric drive systems has faster dynamics and can achieve similar performance as field oriented control (FOC) and direct torque control (DTC) based systems though much smaller control frequency is applied. In this work, model inverse deadbeat based MPC is applied, which maintains the fast dynamics of the model forward finite control set MPC (FCS-MPC) and has even simpler structure. However, since it still keeps the outer speed proportional-integral (PI) controller, integration time for speed and torque response is required when load torque variations occurs. To improve system dynamics and stability by reducing response time and torque ripples against load disturbances, a torque disturbance observer (TDO) is designed. The effectiveness and good overall performance of the proposed system is verified through simulations.

引用

页码：499 / 504

页数：6

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