TY - GEN
T1 - Based on PCHD and HPSO sliding mode control of D-PMSG wind power system
AU - Hou, Lijun
AU - Zheng, Xuemei
AU - Wang, Chao
AU - Li, Yangman
AU - Li, Haoyu
N1 - Publisher Copyright:
© 2018 IEEJ Industry Application Society.
PY - 2018/10/22
Y1 - 2018/10/22
N2 - In order to simplify the model of Direct-drive Permanent Magnet Synchronous Generator (D-PMSG) wind power system and improve the robustness, the variable Speed Constant Frequency (VSCF) D-PMSG wind power system is studied from the perspective of energy and robustness. Firstly, the Port Control Dissipative Hamiltonian (PCHD) model is established for D-PMSG, which simplifies the design of controller. Then, a global High-order Non-singular Terminal Sliding Mode (HNTSM) controller is designed to realize the Maximum Power Point Tracking (MPPT) below the rated wind speed, and it has much faster response speed and better robustness compared with PI controller. However, in the parameters design of PCHD controller, there is no specific selection criterion, so it is difficult for the parameters selected by experience to achieve the ideal effect. Therefore, the hybrid particle swarm optimization algorithm (HPSO) is used to optimize the parameters of PCHD controller, so that the control effect is faster and more accurate. Simulations validate the proposed control.
AB - In order to simplify the model of Direct-drive Permanent Magnet Synchronous Generator (D-PMSG) wind power system and improve the robustness, the variable Speed Constant Frequency (VSCF) D-PMSG wind power system is studied from the perspective of energy and robustness. Firstly, the Port Control Dissipative Hamiltonian (PCHD) model is established for D-PMSG, which simplifies the design of controller. Then, a global High-order Non-singular Terminal Sliding Mode (HNTSM) controller is designed to realize the Maximum Power Point Tracking (MPPT) below the rated wind speed, and it has much faster response speed and better robustness compared with PI controller. However, in the parameters design of PCHD controller, there is no specific selection criterion, so it is difficult for the parameters selected by experience to achieve the ideal effect. Therefore, the hybrid particle swarm optimization algorithm (HPSO) is used to optimize the parameters of PCHD controller, so that the control effect is faster and more accurate. Simulations validate the proposed control.
KW - D-PMSG
KW - HPSO
KW - PCHD
KW - global HNTSM
UR - https://www.scopus.com/pages/publications/85057309785
U2 - 10.23919/IPEC.2018.8507616
DO - 10.23919/IPEC.2018.8507616
M3 - 会议稿件
AN - SCOPUS:85057309785
T3 - 2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
SP - 2901
EP - 2906
BT - 2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
Y2 - 20 May 2018 through 24 May 2018
ER -