Adaptive backstepping and sliding mode control of fin stabilizer based on RBF neural network

被引：1
|
作者：
Zhang, Yuantao [1 ]
Shi, Weiren [1 ]
Yin, Lingling [1 ]
Qiu, Mingbai [2 ]
Zhao, Lin [2 ]
机构：
[1] Chongqing Univ, Coll Automat, Chongqing 400030, Peoples R China
[2] Chongqing Hua Elect Instrument Chief Plant, Chongqing 400021, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 2 | 2009年
关键词：
Fin stabilizer; ocean wave model; backstepping; sliding mode; RBF; PREDICTIVE CONTROL; DESIGN;
D O I：
10.1109/ICICISYS.2009.5358062
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Considering the influence of uncertainty as unknown nonlinearity, parameters perturbation and random waves disturbance to the fin stabilizer system during ship sailing in heavy sea, the random wave model is built and a robust controller based on adaptive backstepping, sliding mode and RBF neural network is proposed Adaptive backstepping and sliding mode control is the main controller and RBF neural network is used to compute the upper bound value of uncertainty which is composed of unknown nonlinearity, parameters perturbation and random waves disturbance, then the system stability is analyzed by using the Lyapunov theory The simulation results show that the control strategy is effective to decrease roll motion of fin stabilizer system in different sea conditions and has strong robust stability to overcome the uncertainty
引用
收藏
页码：302 / +
页数：2
相关论文
共 50 条
  • [21] Adaptive RBF neural network sliding mode control for a DEAP linear actuator
    Qiu D.
    Chen Y.
    Li Y.
    International Journal of Performability Engineering, 2017, 13 (04) : 400 - 408
  • [22] RBF network based adaptive sliding mode control for solar sails
    Lian, Xiaobin
    Liu, Jiafu
    Wang, Chuang
    Yuan, Tiger
    Cui, Naigang
    AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2018, 90 (08): : 1180 - 1191
  • [23] Adaptive Backstepping Hierarchical Sliding Mode Control for 3-Wheeled Mobile Robots Based on RBF Neural Networks
    Dang, Son Tung
    Dinh, Xuan Minh
    Kim, Thai Dinh
    Xuan, Hai Le
    Ha, Manh-Hung
    ELECTRONICS, 2023, 12 (11)
  • [24] Vehicle stability sliding mode control based on RBF neural network
    Zhang Jinzhu
    Zhang Hongtian
    2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 4, 2010, : 243 - 246
  • [25] Design of ROV Adaptive Sliding Mode Control System for Underwater Vehicle Based on RBF Neural Network
    Chen, Wei
    Hu, Shilin
    Wei, Qingyu
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 2976 - 2981
  • [26] Observer-Based Adaptive Sliding Mode Control of NPC Converters: An RBF Neural Network Approach
    Yin, Yunfei
    Liu, Jianxing
    Antonio Sanchez, Juan
    Wu, Ligang
    Vazquez, Sergio
    Leon, Jose I.
    Franquelo, Leopoldo G.
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2019, 34 (04) : 3831 - 3841
  • [27] Research of Variable Pavement Vehicle SBC Based on Adaptive RBF Neural Network Sliding Mode Control
    Zhou Zhiguang
    Zhang Guixiang
    ICECT: 2009 INTERNATIONAL CONFERENCE ON ELECTRONIC COMPUTER TECHNOLOGY, PROCEEDINGS, 2009, : 536 - +
  • [28] An adaptive backstepping nonlinear controller based RBF neural network
    Ye, G
    Guo, C
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2005, 1 : 171 - 175
  • [29] Adaptive Global Sliding Mode Control for MEMS Gyroscope Using RBF Neural Network
    Chu, Yundi
    Fei, Juntao
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [30] Robust RBF Neural Network Control with Adaptive Sliding Mode Compensator for MEMS Gyroscope
    Fei, Juntao
    Yang, Yuzheng
    Wu, Dan
    2013 IEEE/ACIS 12TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS), 2013, : 449 - 454
12345