RESEARCH ON ADAPTIVE BACKSTEPPING CONTROL OF PERMANENT MAGNET WIND POWER SYSTEM BASED ON VIENNA

被引:0
|
作者
Wang J. [1 ]
Wang L. [1 ]
Qiao X. [1 ]
Wu X. [1 ]
机构
[1] School of Electrical Information Engineering, North Minzu University, Yinchuan
来源
关键词
adaptive backstepping control; permanent magnet wind power system; robustness; VIENNA rectifier;
D O I
10.19912/j.0254-0096.tynxb.2022-1447
中图分类号
学科分类号
摘要
Aiming at the uncertainties of nonlinear terms in permanent magnet synchronous motors and the adverse effects of system parameter perturbation,an adaptive backstepping control strategy based on VIENNA permanent magnet wind power system is proposed. The VIENNA rectification topology is used to maximize the power density of the whole machine,reduce harmonic interference,and improve system reliability. The system control law and parameter self-adaptive law are obtained through self-adaptive backstepping control,which solves the nonlinearity of the system and realizes the parameter self-adaption of the stator resistance and load torque,thereby improving the anti-interference ability of the system. Simulation results show that the control system has strong robustness. © 2024 Science Press. All rights reserved.
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页码:171 / 178
页数:7
相关论文
共 24 条
  • [1] Qin S.Q., Cheng L., He Z.Q., Et al., Review of research and application on the wind power-generation system[J], Journal of machine design, 38, 8, pp. 1-8, (2021)
  • [2] Long L.J., Research on three- phase three- line VIENNA rectifier [D], (2019)
  • [3] Wang J.H., Chang W., Chen Q.L., Performance evaluation research of different topology hybird rectifiers [J], Transactions of China Electrotechnical Society, 32, 16, pp. 212-222, (2017)
  • [4] Belkhier Y., Shaw R.N., Bures M., Et al., Robust interconnection and damping assignment energy- based control for a permanent magnet synchronous motor using high order sliding mode approach and nonlinear observer [J], Energy reports, 8, pp. 1731-1740, (2022)
  • [5] Yang S.Y., Mu G.J., Xie Z., Et al., Flux predictive control for permanet magnet synchronous generators with dodecagonal vector set[J], Acta energiae solaris sinica, 44, 3, pp. 120-128, (2023)
  • [6] Ge L., Li Q., Zhang W., Et al., Projection adaptive command- filtered backstepping control for self- energy storage MBTB VSC- HVDC[J], Acta energiae solaris sinica, 41, 9, pp. 61-69, (2020)
  • [7] Yang J.H., Cai H.R., Zou Z.J., Et al., Chaos analysis and decoupling adaptive backstepping control of doubly fed wind power system[J], Acta energiae solaris sinica, 40, 12, pp. 3605-3612, (2019)
  • [8] Belkhier Y., Achour A., An intelligent passivity-based backstepping approach for optimal control for grid-connecting permanent magnet synchronous generator-based tidal conversion system[J], International journal of energy research, 45, 4, pp. 5433-5448, (2021)
  • [9] Zhou E.Z., Shen Y.X., Backstepping control of direct-driven wind power generation system based on RBF neural network[J], Small & special electrical machines, 50, 6, pp. 41-45, (2022)
  • [10] Wu D.H., Yang D.L., Xiao R., Backstepping control of permanent magnet synchronous motor based on LPV observer[J], Measurement & control technology, 38, 8, pp. 113-118, (2019)