中文

Journal of Shanghai University >

2018 , Vol. 24 >Issue 6: 861 - 876

DOI: https://doi.org/10.12066/j.issn.1007-2861.1890

Research Paper

Improved model predictive direct torque control for asynchronous machine

Expand
  • School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China

Received date: 2017-01-21

  Online published: 2018-12-24

Fold

Abstract

This paper proposes an improved model predictive direct torque control (MPDTC) method. An optimal voltage vector selector is obtained by analyzing relationship between stator flux and torque, which can be used to calculate the desired voltage vector based on the stator flux and torque reference. The method only needs to evaluate three voltage vectors in a sector of the desired voltage vector. As a result, the computational burden of conventional MPDTC is reduced effectively. Time delay introduced in computation can cause the stator current to oscillate around its reference and increase current and torque ripples. To solve the problem, a delay compensation method is used. Furthermore, switching frequency of the inverter is reduced significantly by introducing a constraint of power semiconductors switching number to the cost function of MPDTC. Both simulation and experimental results are presented to verify validity and feasibility of the proposed method.

Key words： asynchronous machine; direct torque control; delay compensation; model predictive control; low switching frequency

Cite this article

SONG Wenxiang, LE Shengkang, WU Xiaoxin, RUAN Yi . Improved model predictive direct torque control for asynchronous machine[J]. Journal of Shanghai University, 2018 , 24(6) : 861 -876 . DOI: 10.12066/j.issn.1007-2861.1890

References

[1] Datta R, Ranganathan V T. A simple position-sensorless algorithm for rotor-side field-oriented control of wound-rotor induction machine[J]. IEEE Transactions on Industrial Electronics, 2001,48(4):786-793.
[2] Takahashi I, Noguchi T. A new quick-response and high-efficiency control strategy of an induction motor[J]. IEEE Transactions on Industry Applications, 1986,22(5):820-827.
[3] Lascu C, Boldea I, Blaabjerg F. A modified direct torque control for induction motor sensorless drive[J]. IEEE Transactions on Industry Applications, 2000,36(1):122-130.
[4] Casadei D, Profumo F, Serra G, et al. FOC and DTC: two viable schemes for induction motors torque control[J]. IEEE Transactions on Power Electronics, 2002,17(5):779-787.
[5] Sorchini Z, Krein P T. Formal derivation of direct torque control for induction machines[J]. IEEE Transactions on Power Electronics, 2006,21(5):1428-1436.
[6] Idris N R N, Toh C L, Elbuluk M E. A new torque and flux controller for direct torque control of induction machines[J]. IEEE Transactions on Industry Applications, 2006,42(6):1358-1366.
[7] 廖永衡, 冯晓云, 王珍. 基于定子磁链滑模观测器的异步电机空间矢量调制直接转矩控制[J]. 中国电机工程学报, 2012,32(18):88-97.
[8] 张华强, 王新生, 魏鹏飞, 等. 基于空间矢量调制的直接转矩控制算法研究[J]. 电机与控制学报, 2012,16(6):13-18.
[9] Kouro S, Cortés P, Vargas R, et al. Model predictive control: a simple and powerful method to control power converters[J]. IEEE Transactions on Industrial Electronics, 2009,56(6):1826-1838.
[10] Tarisciotti L, Calzo G L, Gaeta A, et al. A distributed model predictive control strategy for back-to-back converters[J]. IEEE Transactions on Industrial Electronics, 2016,63(9):5867-5878.
[11] Rodriguez J, Kennel R M, Espinoza J R, et al. High-performance control strategies for electrical drives: an experimental assessment[J]. IEEE Transactions on Industrial Electronics, 2012,59(2):812-820.
[12] Holtz J, Stadtfeld S. A predictive controller for the stator current vector of AC-machines fed from a switched voltage source [C]// IEEE International Power Electronics Conference. 1983: 1665-1675.
[13] 宋文祥, 阮智勇, 朱洪志, 等. 异步电机低开关频率的模型预测直接电流控制[J]. 上海大学学报 (自然科学版), 2013,19(6):647-653.
[14] Xie W, Wang X, Wang F, et al. Finite control set-model predictive torque control with a deadbeat solution for PMSM drives[J]. IEEE Transactions on Industrial Electronics, 2015,62(9):5402-5410.
[15] Kwak S, Park J C. Switching strategy based on model predictive control of VSI to obtain high efficiency and balanced loss distribution[J]. IEEE Transactions on Power Electronics, 2014,29(9):4551-4567.
[16] Villarroel F, Espinoza J R, Rojas C A, et al. Multiobjective switching state selector for finite-states model predictive control based on fuzzy decision making in a matrix converter[J]. IEEE Transactions on Industrial Electronics, 2013,60(2):589-599.
[17] Lim C S, Rahim N A, Hew W P, et al. Model predictive control of a two-motor drive with five-leg-inverter supply[J]. IEEE Transactions on Industrial Electronics, 2013,60(1):54-65.
[18] Rodriguez J, Pontt J, Silva C A, et al. Predictive current control of a voltage source inverter[J]. IEEE Transactions on Industrial Electronics, 2007,54(1):495-503.
[19] Karamanakos P, Stolze P, Kennel R, et al. Variable switching point predictive torque control [C]// IEEE International Conference on Industrial Technology. 2013: 422-427.
[20] Zhang Y, Zhu J, Zhao Z, et al. An improved direct torque control for three-level inverter-fed induction motor sensorless drive[J]. IEEE Transactions on Power Electronics, 2012,27(3):1502-1513.
[21] Cortes P, Rodriguez J, Silva C, et al. Delay compensation in model predictive current control of a three-phase inverter[J]. IEEE Transactions on Industrial Electronics, 2012,59(2):1323-1325.
Options
Outlines

/

〈 〉