Fractional Order PID Motion control Based on Seeker Optimization Algorithm for AUV

被引：0
|
作者：
Wan, Junhe [1 ]
Liu, Wenqian [1 ]
Ding, Xin [1 ]
He, Bo [1 ]
Nian, Rui [1 ]
Shen, Yue [1 ]
Yan, Tianhong [2 ]
机构：
[1] Ocean Univ China, Sch Informat Sci & Engn, Songling Rd 238, Qingdao 266100, Peoples R China
[2] China Jiliang Univ, Sch Mech & Elect Engn, 258 Xueyuan St,Xiasha High Edu Pk, Hangzhou 310018, Peoples R China
来源：
OCEANS 2018 MTS/IEEE CHARLESTON | 2018年
关键词：
FOPID; AUV; particle swarm optimization (PSO); seeker optimization Algorithm (SOA);
D O I：
暂无
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：
In order to improve the performance of motion control for autonomous underwater vehicle (AUV), a Fractional Order PID (FOPID) strategy is proposed. It is an extension of the classic PID controller, which enhances the system control performance due to increased two tuning parameters. The Seeker Optimization Algorithm (SOA) is employed to tune coefficients of FOPID controller. Simulation and experiment results verify that the FOPID strategy allow better control of steady-state error and overshoot. The SOA is efficient to find the optimal coefficients of FOPID controller.
引用
收藏
页数：4
相关论文
共 50 条
  • [21] Optimization of a fractional PID controller and prefilter in motion control : MIMO systems
    Yousfi, Najah
    Allagui, Mohamed
    Melchior, Pierre
    Derbel, Nabil
    2018 15TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES (SSD), 2018, : 99 - 104
  • [22] Design of fractional - order PID controller based on genetic algorithm
    Wang, Lingxin
    Wang, Chunyang
    Yu, Li
    Liu, Yonghua
    Sun, Jingxue
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 808 - 813
  • [23] Optimization of fractional order PID controllers based on genetic algorithms
    Cao, JY
    Liang, J
    Cao, BG
    PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 5686 - 5689
  • [24] A Comparative Study between Fractionalized and Fractional Order PID Controllers for Control of a Stable System Based on Particle Swarm Optimization Algorithm
    Idir, Abdelhaki
    Berrabah, Fouad
    Laurent, Canale
    PRZEGLAD ELEKTROTECHNICZNY, 2023, 99 (12): : 87 - 90
  • [25] Optimization control and modeling of fractional order PID turbine speed governing system based on multi-objective hybrid algorithm
    Yang, Jinkuo
    Shi, Hongjie
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 101 - 101
  • [26] Identification of Fractional Order Circuits from Frequency Response Data Using Seeker Optimization Algorithm
    Kumar, Mano Ranjan
    Ghosh, Subhojit
    Das, Shantanu
    2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL INSTRUMENTATION AND CONTROL (ICIC), 2015, : 197 - 202
  • [27] A fractional order PID tuning algorithm for a class of fractional order plants
    Zhao, Chunna
    Xue, Dingyu
    Chen, YangQuan
    2005 IEEE International Conference on Mechatronics and Automations, Vols 1-4, Conference Proceedings, 2005, : 216 - 221
  • [28] Improved fractional-order PID dynamic matrix control algorithm based on time domain
    Guo, Wei
    Wen, Jinghong
    Zhou, Wangping
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2010, 31 (05): : 968 - 973
  • [29] Fruit fly optimization algorithm based fractional order fuzzy-PID controller for electronic throttle
    Sheng, Wang
    Bao, Yan
    NONLINEAR DYNAMICS, 2013, 73 (1-2) : 611 - 619
  • [30] Fruit fly optimization algorithm based fractional order fuzzy-PID controller for electronic throttle
    Wang Sheng
    Yan Bao
    Nonlinear Dynamics, 2013, 73 : 611 - 619
12345