Singular Value Decomposition-Based Saturated Control Scheme for a Multi-DOF Wave Energy Converter

被引:0
|
作者
Li, XiaoGang [1 ]
Wang, Jiameng [2 ]
Zhai, Peng [3 ]
机构
[1] Tianfu Xinglong Lake Lab, Dept Facil Sci, Chengdu 610213, Peoples R China
[2] Sichuan Univ, Chengdu 610011, Peoples R China
[3] Fudan Univ, Acad Engn & Technol, Shanghai 200433, Peoples R China
基金
中国博士后科学基金;
关键词
Linear extended state observer; power take-off; singular value decomposition; sliding mode controller; wave energy converters; ABSORBER; DESIGN;
D O I
10.1109/TIA.2022.3222144
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes a singular value decomposition-based velocity tracking control system for the multi-degree of freedom wave energy converter (WEC) to address the velocity tracking problem. Compared with our previous work presented at the conference, the detailed hydrodynamics of WEC is analyzed. In order to estimate the wave excitation force and optimal reference velocity, a linear extended state observer is employed in this control scheme. Considering that the output torque of power take-off (PTO) is limited, a novel saturated sliding mode controller is proposed to ensure that the output control torque of PTO will not exceed what the actuators can supply. With the attempt to enhance the performance of LESO, a new fuzzy logic rule is introduced into this control scheme to make the observer achieve self-tune. Based on the proposed control scheme, the power take-off system can generate appropriate control input to drive the WEC's buoy to operate at the specified speed to maximize the performance benefit of the WEC's power generation.
引用
收藏
页码:2019 / 2029
页数:11
相关论文
共 50 条
  • [41] Improved Singular Value Decomposition-based Exons Prediction Approach Using Forward-backward Filtering
    El-Badawy, Ismail M.
    Omar, Zaid
    PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (IEEE ICSIPA 2019), 2019, : 12 - 16
  • [42] A novel singular value decomposition-based similarity measure method for non-local means denoising
    Yi Wang
    Xiao Song
    Kai Chen
    Xing Zhang
    Ming Tie
    Hong Fang
    Signal, Image and Video Processing, 2022, 16 : 403 - 410
  • [43] Singular Value Decomposition-based Robust Cubature Kalman Filtering for an Integrated GPS/SINS Navigation System
    Zhang, Qiuzhao
    Meng, Xiaolin
    Zhang, Shubi
    Wang, Yunjia
    JOURNAL OF NAVIGATION, 2015, 68 (03): : 549 - 562
  • [44] Robust Interval Luenberger Observer-Based State Feedback Control: Application to a Multi-DOF Micropositioner
    Hammouche, Mounir
    Mohand-Ousaid, Abdenbi
    Lutz, Philippe
    Rakotondrabe, Micky
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (06) : 2672 - 2679
  • [45] A reduced finite difference scheme based on singular value decomposition and proper orthogonal decomposition for Burgers equation
    Luo, Zhendong
    Yang, Xiaozhong
    Zhou, Yanjie
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2009, 229 (01) : 97 - 107
  • [46] Improved singular value decomposition-based de-noising algorithm in digital receiver front-end
    Hu, Lin
    Ma, Hong
    Zhang, Hua
    Zhao, Wen
    IET COMMUNICATIONS, 2017, 11 (13) : 2049 - 2057
  • [47] A Regularized Singular Value Decomposition-Based Approach for Failure Pattern Classification on Fail Bit Map in a DRAM Wafer
    Kim, Byunghoon
    Jeong, Young-Seon
    Tong, Seung Hoon
    Chang, In-Kap
    Jeong, Myong-Kee
    IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 2015, 28 (01) : 41 - 49
  • [48] Acoustic Tomography of Temperature Field by Finite Element Method and Improved Singular Value Decomposition-Based Tikhonov Regularization
    Zhang, Haitao
    Li, Qiang
    Wang, Liming
    IEEE ACCESS, 2024, 12 : 50347 - 50361
  • [49] Singular Value Decomposition-Based Algorithm for Noise Suppression of TH-PAM UWB Signal in AWGN Channel
    Xu, Jianmin
    Wang, Yufeng
    2011 7TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM), 2011,
  • [50] Singular Value Decomposition-Based Penalized Multinomial Regression for Classifying Imbalanced Medulloblastoma Subgroups Using Methylation Data
    Mohammed, Isra
    Elbashir, Murtada K.
    Faggad, Areeg S.
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2024, 31 (05) : 458 - 471