Maximum Torque Per Ampere Current Control Based on Improved Adaptive Disturbance Observation

被引:0
作者
Gao J. [1 ]
Zhou W. [1 ]
Zhang W. [2 ]
Huang S. [1 ]
机构
[1] College of Electrical and Information Engineering, Hunan University, Changsha
[2] College of Electronic Information and Electrical Engineering, Changsha University, Changsha
来源
Zhou, Wang (zhouwang2018@hnu.edu.cn) | 1600年 / Hunan University卷 / 48期
关键词
Disturbance observation; Interior permanent magnet synchronous motor(IPMSM); Maximum torque per Ampere current control(MTPA); Search accuracy;
D O I
10.16339/j.cnki.hdxbzkb.2021.02.010
中图分类号
学科分类号
摘要
Aiming at the problem that the Maximum Torque Per Ampere(MTPA) current control of the Interior Permanent Magnet Synchronous Motor (IPMSM) is affected by the change of motor parameters, this paper proposes an improved adaptive disturbance observation MTPA control strategy. This method uses the stator current vector angle as the disturbance, and compares the current amplitudes before and after the control system to determine the search direction. By integrating adaptive PI control into the disturbance observation method, the tracking system randomly selects the corresponding disturbance step length, thus this method solves the dynamic and steady-state performance, improves the accuracy and system operation efficiency, overcomes the traditional MTPA control method's dependence on motor parameters, and improves the overall efficiency of the system. In addition to the search accuracy of the current vector angle, this paper considers the influence of external factors on the changes of parameters such as inductance and flux linkage to obtain the optimal current vector angle under the dq axis of the built-in permanent magnet motor(IPMSM). The simulation and test results show the effectiveness of the proposed method. © 2021, Editorial Department of Journal of Hunan University. All right reserved.
引用
收藏
页码:80 / 86
页数:6
相关论文
共 18 条
  • [1] (2019)
  • [2] ZHANG W J, FENG Y J, HUANG S D, Et al., The maxium torque per ampere control of permanent magnet synchronous motor based on iterative method, Transactions of China Electrotechnical Society, 28, S2, pp. 402-407, (2013)
  • [3] LI K, WANG Y., Maximum torque per ampere (MTPA) control for IPMSM drives using signal injection and an MTPA control law, IEEE Transactions on Industrial Informatics, 15, 10, pp. 5588-5598, (2019)
  • [4] LI K, WANG Y., Maximum torque per ampere (MTPA) control for IPMSM drives based on a variable-equivalent-parameter MTPA control law, IEEE Transactions on Power Electronics, 34, 7, pp. 7092-7102, (2019)
  • [5] LI Y J, DONG X, WEI H F, Et al., Parameter identification method of permanent magnet synchronous motor based on improved model reference adaptive system, Control Theory & Applications, 37, 9, pp. 1983-1988, (2020)
  • [6] ZHANG L L., Research on parameter identification and adaptive control of permanent magnet synchronous motor, (2019)
  • [7] LI F, XIA C Y., Inductance identification algorithm and variable-parameters MTPA control strategy for IPMSM considering magnetic circuit saturation, Transactions of China Electrotechnical Society, 32, 11, pp. 136-144, (2017)
  • [8] WU C, ZHAO Y W, SUN M X., Multiparameter online identification for permanent magnet synchronous machines using voltage measurements, Proceedings of the CSEE, 40, 13, pp. 4329-4340, (2020)
  • [9] KANG J S, WANG S., Newton-raphson-based searching method for variable-parameters inductance maximum torque per ampere control used for IPMSM, Transactions of China Electrotechnical Society, 34, 8, pp. 1616-1625, (2019)
  • [10] LEE D, KIM J W, LEE C G, Et al., Variable mesh adaptive direct search algorithm applied for optimal design of electric machines based on FEA, IEEE Transactions on Magnetics, 47, 10, pp. 3232-3235, (2011)