Predictive Direct Torque and Flux Control of an Induction Motor Drive fed by a Direct Matrix Converter with Reactive Power Minimization

被引：0

作者：

Zakaria, Lamouchi ^{[1
]}

Barra, Kamel ^{[1
]}

机构：

[1] Larbi Ben Mhidi Univ, Dept Elect Engn, Oum El Bouaghi 04000, Algeria

来源：

2013 10TH IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC) | 2013年

关键词：

Induction motor; predictive control; finite states-space model; direct matrix converter; cost function; reactive power;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper presents a Predictive Direct Torque and Flux Control (PDTFC) of an induction machine fed by a Direct Matrix Converter (DMC). The method combines the merits of Finite States Model Predictive Control (FSMPC) with the ones of DTC control. The proposed control algorithm selects the switching state of the DMC that minimizes the error between torque and flux predictions to their computed values for all different voltage vectors. The optimal voltage vector that minimizes a cost function is then applied to the terminal of the induction machine. Moreover, the proposed predictive control is easily extended to minimize the reactive power in the voltage source side. The control method uses only one sample time and it is very intuitive since it is simple, multi-objective and provides best performances compared to other control laws (fast dynamic response, simple implementation).

引用

页码：34 / 39

页数：6