Dynamic modeling of cable deployment/retrieval based on ALE-ANCF and adaptive step-size integrator

被引:2
|
作者
Yang, Siming [1 ]
Ren, Hui [1 ]
Zhu, Xiangqian [2 ,3 ]
机构
[1] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Peoples R China
[2] Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China
[3] Shandong Univ, Res Inst, Rizhao 276800, Peoples R China
基金
中国国家自然科学基金;
关键词
Deep-towed seismic system; Absolute nodal coordinate formulation; Arbitrary Lagrange-Euler; Adaptive step-size integrator; PID control; TETHER TRANSPORTATION SYSTEM; GULF-OF-MEXICO; UNDERWATER VEHICLE; NUMERICAL-SIMULATION; GAS; SEA;
D O I
10.1016/j.oceaneng.2024.118517
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
The towing vehicle must maintain a stable distance from the seafloor to ensure the accuracy and safety of deeptowed seismic systems. However, due to equipment limitations, controlling the towing depth is achievable solely by adjusting the length of the towing cable. In this study, an Absolute Nodal Coordinate Formulation (ANCF) with Arbitrary Lagrange-Euler (ALE)description is employed to model variable-length flexible towing cables. The inertial and elastic force formulas for ALE-ANCF, along with their corresponding Jacobian matrices, are derived in detail, and their coefficient matrices are precomputed to avoid Gaussian integration. The proposed adaptive step-size strategy enhances computational efficiency. Detailed investigation into the impact of cable deployment/retrieval on towing depth is conducted, revealing an almost linear relationship between length change and towing depth. In Addition, a proportional, integral, derivative (PID) controller with compensation is proposed for efficiently tracking the target depth and alleviating the perturbations from the mothership, illustrating the feasibility of PID control. These findings hold practical significance for enhancing the operational safety and efficiency of deep-towed seismic systems.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] A novel variable step-size normalized subband adaptive filter based on mixed error cost function
    Wen, Pengwei
    Zhang, Jiashu
    SIGNAL PROCESSING, 2017, 138 : 48 - 52
  • [42] A Variable Step-Size Regularization-Based Quasi-Newton Adaptive Filter for System Identification
    Bekrani, Mehdi
    Zayyani, Hadi
    IEEE ACCESS, 2024, 12 : 10059 - 10068
  • [43] Adaptive Step-Size Predictive PLL Based Rotor Position Estimation Method for Sensorless IPMSM Drives
    Zhang, Guoqiang
    Yan, Yunhao
    Wang, Qiwei
    Ding, Dawei
    Wang, Gaolin
    Ding, Li
    Li, Yunwei
    Xu, Dianguo
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2024, 39 (05) : 6136 - 6147
  • [44] Estimation of electrical signal frequency based on adaptive notch filter with variable step-size LMS algorithm
    Hunan University, Changsha 410082, China
    Dianli Zidonghua Shebei Electr. Power Autom. Equip., 2007, 7 (54-57):
  • [45] Optimal Individual Convergence Rate of Heavy-Ball Based Momentum Methods Based on Adaptive Step-Size Strategy
    Huang J.
    Long S.
    Tao Q.
    Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence, 2021, 34 (02): : 137 - 145
  • [46] Variable step-size based method for acoustic feedback modeling and neutralization in active noise control systems
    Akhtar, Muhammad Tahir
    Mitsuhashi, Wataru
    APPLIED ACOUSTICS, 2011, 72 (05) : 297 - 304
  • [47] A study on path loss prediction based on Tikhonov regularization using gradient adaptive step-size in mountain areas
    Lee, Changwon
    MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, 2020, 62 (07) : 2531 - 2536
  • [48] Variable step-size oscillator-based adaptive notch filer algorithm using maximum correntropy criterion
    Baek, H. J.
    Cho, J.
    Shin, J. W.
    ELECTRONICS LETTERS, 2018, 54 (04) : 246 - 248
  • [49] Variable step-size compressed sensing-based sparsity adaptive matching pursuit algorithm for speech reconstruction
    Yu Zhiwen
    2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 7344 - 7349
  • [50] Sign subband adaptive filter with l1-norm minimisation-based variable step-size
    Kim, J. H.
    Chang, J. -H.
    Nam, S. W.
    ELECTRONICS LETTERS, 2013, 49 (21) : 1325 - 1326