New Adaptive Super-Twisting Extended-State Observer-Based Sliding Mode Scheme with Application to FOWT Pitch Control

被引:1
|
作者
Ma, Ronglin [1 ,2 ]
Siaw, Fei Lu [1 ]
Thio, Tzer Hwai Gilbert [1 ]
Yang, Wenxiang [3 ]
机构
[1] SEGi Univ, Fac Engn Built Environm & Informat Technol, Ctr Sustainabil Adv Elect & Elect Syst CSAEES, Petaling Jaya 47810, Malaysia
[2] Shandong Jiaotong Univ, Sch Int Educ, Jinan 250357, Peoples R China
[3] Shandong Jiaotong Univ, Sch Informat Sci & Elect Engn, Jinan 250357, Peoples R China
基金
中国国家自然科学基金;
关键词
extended-state observer; super-twisting sliding mode; adaptive gain; floating offshore wind turbine; ALGORITHM; TRACKING;
D O I
10.3390/jmse12060902
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper details the transformation of the velocity or position-tracking problem of a class of uncertain systems using finite time stability control for first-order uncertain systems. A new composite extended-state observer sliding mode (ESOSM) scheme is proposed, which includes an adaptive super-twisting-like ESO and an adaptive super-twisting controller. The adaptive super-twisting controller is implemented through a barrier function-based second-order sliding mode algorithm. To further reduce control chattering and improve control performance, the adaptive super-twisting-like ESO, which employs high-order terms in the super-twisting algorithm to accelerate convergence, is designed to observe the lumped uncertainty in real time. The advantages of the proposed scheme are verified by a numerical example and application with regard to floating offshore wind turbine (FOWT) pitch control. Compared with proportional integral (PI) and adaptive super-twisting sliding mode (ASTSM) schemes, better results are obtained in velocity tracking and fatigue load suppression. For the FOWT pitch control application, the platform roll, pitch, and yaw are decreased by 3%, 2%, and 4%, respectively, compared to the PI scheme at an average turbulent wind speed of 17 m/s and turbulence intensity of 17.27%.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Fuzzy Neural Super-Twisting Sliding-Mode Control of Active Power Filter Using Nonlinear Extended State Observer
    Fei, Juntao
    Liu, Lunhaojie
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (01): : 457 - 470
  • [42] A Fuzzy Logic Based Super-twisting Sliding Mode Control Scheme for Electronic Throttle Control
    Azeem, Mohammad Fazle
    Kareem, Abdul
    2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2016, : 485 - 492
  • [43] Speed Control for PMSM with Fast-Terminal Super-Twisting Sliding Mode Controller via Extended State Disturbance Observer
    Wang, Hengqiang
    Zhang, Guangming
    Liu, Xiaojun
    APPLIED SCIENCES-BASEL, 2024, 14 (18):
  • [44] GPIO Based Super-Twisting Sliding Mode Control for PMSM
    Hou, Qiankang
    Ding, Shihong
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (02) : 747 - 751
  • [45] Terminal sliding mode control based on super-twisting algorithm
    Zhanshan Zhao
    Hongru Gu
    Jing Zhang
    Gang Ding
    Journal of Systems Engineering and Electronics, 2017, 28 (01) : 145 - 150
  • [46] Quantized super-twisting algorithm based sliding mode control
    Yan, Yan
    Yu, Shuanghe
    Yu, Xinghuo
    AUTOMATICA, 2019, 105 : 43 - 48
  • [47] Terminal sliding mode control based on super-twisting algorithm
    Zhao, Zhanshan
    Gu, Hongru
    Zhang, Jing
    Ding, Gang
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2017, 28 (01) : 145 - 150
  • [48] Vehicle Adaptive Cruise Controller Based on an Optimal Super-twisting Sliding Mode Control
    El Hajjami, Lhoussain
    Mellouli, El Mehdi
    Zuraulis, Vidas
    Berrada, Mohammed
    2022 2ND INTERNATIONAL CONFERENCE OF SMART SYSTEMS AND EMERGING TECHNOLOGIES (SMARTTECH 2022), 2022, : 160 - 165
  • [49] Super-Twisting Sliding Mode Control Strategy for Exoskeleton Joint Motor Based on Load Observer
    Qin, Lang
    Jiang, Zhengrui
    He, Zhiqin
    Yin, Yaohua
    Ma, Jiaqing
    Dai, Jinsui
    Li, Wei
    Zhang, Yang
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2025, : 2407 - 2417
  • [50] Sensorless Control Strategy of Permanent Magnet Synchronous Motor Based on Adaptive Super-Twisting Algorithm Sliding Mode Observer
    Zou, Xinhong
    Ding, Hongchang
    Li, Jinhong
    JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, 2024, 35 (01) : 163 - 179