Cost Functions in Finite Control Set Model Predictive Control of Permanent Magnet DC Machine

被引：6

作者：

Kyslan, Karol ^{[1
]}

Slapak, Viktor ^{[1
]}

Lacko, Milan ^{[1
]}

Durovsky, Frantisek ^{[1
]}

机构：

[1] Tech Univ Kosice, Dept Elect Engn & Mechatron, Letna 9, Kosice 04200, Slovakia

来源：

2015 INTERNATIONAL CONFERENCE ON ELECTRICAL DRIVES AND POWER ELECTRONICS (EDPE) | 2015年

关键词：

cost function; DC machines; Kalman filter; predictive control;

D O I：

10.1109/EDPE.2015.7325281

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 paper presents a finite control set model predictive control strategy for the speed control of brushed permanent magnet DC machine. Main objective is to introduce and compare basic cost functions regarding speed control. Full order Kalman filter is used for the observation of the non-measured load torque and reduction of speed measurement noise. Influence of the proposed cost functions on the control quality is demonstrated by simulations. The performance of the best cost function is shown through experimental verification with a 250 W machine and laboratory prototype of H-bridge controlled by RT-LAB control platform.

引用

页码：124 / 129

页数：6

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