Composite finite-time output voltage tracking control of energy storage inverters with mismatched multiple disturbances

被引:1
|
作者
Huang, Saijin [1 ]
Li, Guanjun [1 ,2 ]
Wang, Xiangyu [1 ]
Li, Haoyuan [2 ]
机构
[1] Southeast Univ, Sch Automat, Key Lab Measurement & Control Complex Syst Engn, Minist Educ, Nanjing 210096, Peoples R China
[2] China Elect Power Res Inst Co Ltd, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
decoupling strategy; disturbance rejection; energy storage inverter; finite-time control; voltage regulation; SLIDING-MODE CONTROL; 3-PHASE INVERTERS; RENEWABLE ENERGY; STABILITY; SYSTEMS;
D O I
10.1002/asjc.3469
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the finite-time output voltage tracking control problem of energy storage inverters. Multiple load conditions are simultaneously considered. To complete the tracking control task and enhance the power quality under different loads, a composite control scheme, which contains two parts, is proposed. In the first part, two finite-time disturbance observers are established to estimate the mismatched multiple disturbances originating from load variations. In the second part, new integral-type sliding-mode surfaces embedding disturbance estimates and dq$$ dq $$-axis couplings are designed, which not only feedforward compensate for the disturbances but also achieve decoupling. Based on the sliding-mode surfaces, a composite controller is constructed. Compared with the existing results, the proposed controller is continuous and significantly reduces chattering. Moreover, with the novel decoupling strategy, the dq$$ dq $$-axis coupling problem is solved precisely without generalizing the couplings as disturbances, which simplifies the observation task and further accelerates system convergence. Rigorous stability analysis is conducted to demonstrate the accomplishment of the finite-time tracking task. Simulations and experiments are presented to validate the effects of the proposed control scheme.
引用
收藏
页码:593 / 609
页数:17
相关论文
共 50 条
  • [21] Fast finite-time tracking control for multi-agent systems with mismatched disturbances under directed communication graphs
    Ke, Jin
    Wang, Jingyao
    Zeng, Jianping
    Lan, Weiyao
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2020, 51 (16) : 3320 - 3338
  • [22] Observer-based finite-time control for trajectory tracking of wheeled mobile robots with kinematic disturbances
    Miranda-Colorado, Roger
    ISA TRANSACTIONS, 2024, 148 : 64 - 77
  • [23] Finite-Time Position Tracking Control of a Quadrotor Aircraft
    Wu, Di
    Du, Haibo
    Zhu, Wenwu
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 737 - 742
  • [24] Finite-time composite control for fuzzy delayed semi-Markovian jump systems with multiple disturbances and uncertainty
    Xu, Tianbo
    Zhu, Chunxia
    Qi, Wenhai
    Cao, Jinde
    Cheng, Jun
    Shi, Kaibo
    Pan, Guangsheng
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2023, 37 (07) : 1738 - 1761
  • [25] Neuro-adaptive Distributed Finite-time Attitude Tracking Control for Multiple Rigid Spacecraft by Output Feedback
    Cui, Bing
    Xia, Yuanqing
    Liu, Kun
    Shen, Ganghui
    2019 3RD INTERNATIONAL SYMPOSIUM ON AUTONOMOUS SYSTEMS (ISAS 2019), 2019, : 266 - 271
  • [26] Continuous output-feedback finite-time control for a class of second-order nonlinear systems with disturbances
    Liu, Haitao
    Zhang, Tie
    Tian, Xuehong
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2016, 26 (02) : 218 - 234
  • [27] Finite-time output feedback control for a pneumatic servo system
    Wang, Xiangyu
    Li, Guipu
    Li, Shihua
    Song, Aiguo
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2016, 38 (12) : 1520 - 1534
  • [28] Finite-time Backstepping for Attitude Tracking with Disturbances and Input Constraints
    Jiang, Tao
    Zhang, Fubiao
    Lin, Defu
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2020, 18 (06) : 1487 - 1497
  • [29] Finite-Time Output Feedback Tracking Control for Autonomous Underwater Vehicles
    Li, Shihua
    Wang, Xiangyu
    Zhang, Lijun
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2015, 40 (03) : 727 - 751
  • [30] Distributed finite-time trajectory tracking control for multiple nonholonomic mobile robots with uncertainties and external disturbances
    Ou, Meiying
    Sun, Haibin
    Gu, Shengwei
    Zhang, Yangyi
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 48 (15) : 3233 - 3245