IMPROVED MODEL PREDICTIE TORQUE CONTROL OF SYNCHRONOUS RELUCTANCE MOTOR

被引：0
作者：
Zhao Z. [1 ]
Du Q. [1 ]
Ling H. [1 ]
Yang S. [1 ]
Feng H. [1 ]
Li C. [1 ]
机构：
[1] School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2023年 / 44卷 / 06期
关键词：
discrete space vector modulation; model predictive control; parameter identification; synchronous reluctance motor; torque control; wind turbines;
D O I：
10.19912/j.0254-0096.tynxb.2022-0233
中图分类号：
学科分类号：
摘要：
Aiming at the problem of large torque ripple and large influence of inductance parameters in synchronous reluctance motor model predictive torque control，an improved model predictive torque control method for synchronous reluctance motor is proposed. The recursive least square method with forgetting factor is used to identify the inductance parameters. The identified inductance parameters are used in the model predictive torque control，which improves the accuracy of the mathematical model in the model predictive control and reduces the influence of the change of inductance parameters on the performance of the model predictive torque control. Discrete space vector modulation technology is introduced，which improves the steady-state performance of the system by synthesizing a large number of virtual vectors. At the same time，a simplified method for voltage vector selection is proposed to avoid calculating all voltage vectors and reduce the amount of calculation. The simulation results show that this method has small torque and flux ripple and good dynamic and steady-state performance. © 2023 Science Press. All rights reserved.
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页码：469 / 476
页数：7
相关论文
共 21 条
  • [1] YUAN C Y，, LI J, CHEN J Y, Et al., Research on ABC-PID pitch control of large- scale wind turbines［J］, Acta energiae solaris sinica, 40, 10, pp. 3002-3008, (2019)
  • [2] BAOMING G., Beyond induction motors：technology trends to move up efficiency［J］, IEEE transactions on industry applications, 50, 3, pp. 2103-2114, (2014)
  • [3] JIN M S，, Et al., Comparative study on synchronous reluctance and PM machines［J］, Compel- the international journal for computation and mathematics in electrical and electronic engineering, 35, 2, pp. 607-623, (2016)
  • [4] LI H, XIE X J，, LIU X Z，, Et al., Influence of parameters on control system and improved identification method of pitch motor in wind turbine generator system［J］, Electric machines and control, 23, 7, pp. 9-18, (2019)
  • [5] YE Y M, ZHANG X L, Et al., Sectioned simulation of variable blade pitch wind turbine and its control strategy ［J］, Power system technology, 34, 1, pp. 159-163, (2010)
  • [6] AI X, WANG W Q, WANG H Y., 12- sector direct torque control of interior permanent magnet synchronous motor ［J］, Acta energiae solaris sinica, 41, 1, pp. 325-332, (2020)
  • [7] XU X Y, WANG Y C, SHEN J X., Direct torque control-space vector modulation control strategy of synchronous reluctance motor based on maximum torque per- ampere ［J］, Transactions of China Electrotechnical Society, 35, 2, pp. 246-254, (2020)
  • [8] New direct torque control of induction motor for minimum torque ripple and constant switching frequency［J］, IEEE transactions on industry applications, 35, 5, pp. 1076-1082, (1999)
  • [9] ZHANG X A, A robust field- weakening algorithm based on duty ratio regulation for direct torque controlled synchronous reluctance motor［J］, IEEE/ASME transactions on mechatronics, 21, 2, pp. 765-773, (2017)
  • [10] ZOU T, DING B C, ZHANG R., MPC：an introduction to industrial application［M］, pp. 1-5, (2010)
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