Application of Fuzzy PID Based on Stray Lion Swarm Optimization Algorithm in Overhead Crane System Control

被引:5
作者
Fu, Jie [1 ]
Liu, Jian [2 ]
Xie, Dongkai [3 ]
Sun, Zhe [4 ,5 ]
机构
[1] Zhejiang Inst Commun, Rail Transit Dept, Hangzhou 311112, Peoples R China
[2] Nanjing Univ Finance & Econ, Coll Informat Engn, Nanjing 210023, Peoples R China
[3] Alibaba Co Ltd, Alibaba Cloud Intelligence Business Grp, Hangzhou 310024, Peoples R China
[4] Nanjing Univ Posts & Telecommun, Post Ind Technol Res & Dev Ctr State Posts Bur Int, Nanjing 210023, Peoples R China
[5] Nanjing Univ Posts & Telecommun, Post Big Data Technol & Applicat Engn Res Ctr Jian, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
overhead crane; anti-swing control; fuzzy PID; SLSO algorithm; DESIGN;
D O I
10.3390/math11092170
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
To solve the problem of crane anti-swing, fuzzy PID is a common method. However, the parameter configuration of fuzzy PID requires a lot of time and effort from professionals. Based on this, we introduce the LSO algorithm and add the stray operator, which effectively improves its global search performance. By combining SLSO and fuzzy PID and comparing them with other methods, this paper confirms that even without the targeted optimization by professionals, the optimization algorithm can find the appropriate parameter configuration for fuzzy PID which can be effectively used in the crane anti-swing problem.
引用
收藏
页数:18
相关论文
共 34 条
  • [11] KUO KY, 2002, APPL SOFT COMPUT, V2, P24, DOI DOI 10.1016/S1568-4946(02)00026-1
  • [12] Seismic Performance Assessment of a Moment-Resisting Frame Steel Warehouse Provided with Overhead Crane
    Lisperguier, Nicolas
    Lopez, Alvaro
    Vielma, Juan C.
    [J]. MATERIALS, 2023, 16 (07)
  • [13] [刘生建 Liu Shengjian], 2018, [模式识别与人工智能, Pattern Recognition and Artificial Intelligence], V31, P431
  • [14] Adaptive-Fuzzy Control Compensation Design for Direct Adaptive Fuzzy Control
    Lu, Yongkun
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (06) : 3222 - 3231
  • [15] Adaptive Fuzzy Decentralized Tracking Control for Large-Scale Interconnected Nonlinear Networked Control Systems
    Ma, Min
    Wang, Tong
    Qiu, Jianbin
    Karimi, Hamid Reza
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (10) : 3186 - 3191
  • [16] Secure Exchange of Digital Metrological Data in a Smart Overhead Crane
    Mustapaa, Tuukka
    Tunkkari, Henri
    Taponen, Jaan
    Immonen, Leo
    Heeren, Wiebke
    Baer, Oksana
    Brown, Clifford
    Viitala, Raine
    [J]. SENSORS, 2022, 22 (04)
  • [17] Optimal PID controller design through swarm intelligence algorithms for sun tracking system
    Sabir, Mirza Muhammad
    Ali, Tariq
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2016, 274 : 690 - 699
  • [18] Shating Qu, 2021, 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2), P3335, DOI 10.1109/EI252483.2021.9713324
  • [19] Adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient algorithm
    Shi, Qian
    Lam, Hak-Keung
    Xuan, Chengbin
    Chen, Ming
    [J]. NEUROCOMPUTING, 2020, 402 : 183 - 194
  • [20] MINIMIZATION BY RANDOM SEARCH TECHNIQUES
    SOLIS, FJ
    WETS, RJB
    [J]. MATHEMATICS OF OPERATIONS RESEARCH, 1981, 6 (01) : 19 - 30