Simplified Predictive Torque Control for Induction Motor with Sliding Mode Speed-Sensorless

被引：0

作者：

Yin H. ^{[1
]}

Guo Z. ^{[1
]}

Zeng J. ^{[1
]}

机构：

[1] School of Electric Power Engineering, South China University of Technology, Guangzhou

来源：

Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2020年 / 48卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Flux control; Induction motor; Model predictive control; Sliding mode observer; Torque;

D O I：

10.12141/j.issn.1000-565X.200137

中图分类号：

学科分类号：

摘要：

A novel simplified predictive control method was proposed for the torque and flux control of induction motor. By introducing a new torque calculation scheme and a multi-step and multi-objective model predictive control strategy, the cost function of torque and flux amplitude was separated. Compared with the traditional model predictive control method, the new method not only reduces the calculation burden but also avoids the influence of weight factor. At the same time, the actual speed in the prediction model was replaced by the observed speed by introducing the sliding mode speed observer, which realizes the speed-sensorless control and avoids many inconve-niences brought by the speed sensor. Based on Matlab/Simulink, the simulation results for the speed, torque and current of the motor with the proposed observer and control method were obtained and compared with the traditional field oriented control and direct torque control. The simulation results and the comparison results both verified the effectiveness of the control method. © 2020, Editorial Department, Journal of South China University of Technology. All right reserved.

引用

页码：18 / 26

页数：8

共 23 条

[1]

ZHONG L, RAHMAN M F, HU W Y, Et al., Analysis of direct torque control in permanent magnet synchronous motor drives, IEEE Transactions on Power Electronics, 12, 3, pp. 528-536, (1997)

[2]

BUJA G S, KAZMIERKOWSKI M P., Direct torque control of PWM inverter-fed AC motors-a survey, IEEE Transactions on Industrial Electronics, 51, 4, pp. 744-757, (2004)

[3]

KOURO S, CORTES P, RENE V, Et al., Model predictive control-a simple and powerful method to control power converters, IEEE Transactions on Industrial Electronics, 56, 6, pp. 1826-1838, (2009)

[4]

VAZQUEZ S, RODRIGUEZ J, RIVERA M, Et al., Model predictive control for power converters and drives: advances and trends, IEEE Transactions on Industrial Electronics, 64, 2, pp. 935-947, (2017)

[5]

ZHANG Y, YANG H., Model predictive torque control of induction motor drives with optimal duty cycle control, IEEE Transactions on Power Electronics, 29, 12, pp. 6593-6603, (2014)

[6]

WANG F, LI S, MEI X, Et al., Model-based predictive direct control strategies for electrical drives: an experimental evaluation of PTC and PCC methods, IEEE Transactions on Industrial Informatics, 11, 3, pp. 671-681, (2015)

[7]

ZHANG Yong-chang, YANG Hai-tao, WEI Xiang-long, Model predictive control of permanent magnet synchronous motors based on fast vector selection, Transactions of China Electrotechnical Society, 31, 6, pp. 66-73, (2016)

[8]

XIA C, LIU T, SHI T, Et al., A simplified finite-control-set model-predictive control for power converters, IEEE Transactions on Industrial Informatics, 10, 2, pp. 991-1002, (2014)

[9]

CORTES P, RODRIGUEZ J, SILVA C, Et al., Delay compensation in model predictive current control of a three-phase inverter, IEEE Transactions on Industrial Electronics, 59, 2, pp. 1323-1325, (2012)

[10]

XI Guo-hua, SHEN Hong-ping, YU Shou-yi, Et al., Speed sensorless direct torque control system of asynchronous motor, Proceedings of the CSEE, 27, 21, pp. 78-84, (2007)

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