Interval Type-2 Fuzzy Sliding-Mode Control of Three-Axis Stabilization Gimbal

被引:2
|
作者
Ye, Run [1 ]
Yan, Bin [1 ]
Shi, Kaibo [2 ]
Chen, Maoxuan [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Peoples R China
[2] Chengdu Univ, Sch Elect Informat & Elect Engn, Chengdu 611731, Peoples R China
基金
中国国家自然科学基金;
关键词
Brushless DC motors; Fuzzy control; Mathematical model; Cameras; Windings; Sliding mode control; Resistance; Interval type-two fuzzy control; sliding-mode control; three-axis stabilization gimbal; position ring; OF-SIGHT STABILIZATION; ROBUST-CONTROL;
D O I
10.1109/ACCESS.2020.3027315
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Aiming at the attitude control problem of three-axis stabilization gimbal, an algorithm combining interval type-2 fuzzy control and sliding-mode control was designed. Firstly, the mathematical model of the three-axis stabilization gimbal actuator was established after analyzing the mechanical structure of the three-axis stabilization gimbal. Then, a sliding-mode controller was designed based on the position ring of the actuator of three-axis stabilization gimbal. An interval type-2 control was used to reduce chattering in sliding-mode control. The switching function and its derivative are taken as the input of fuzzy control, and the rate of change of the approach law is taken as the output of fuzzy control. Fuzzy control can adjust the gain of sliding-mode surface dynamically, enhance the adaptability on external random disturbance, improve the speed of convergence and weaken chattering. The simulation results show that the output of the controller designed in this paper is more stable, and the tracking of the three-axis stabilization gimbal is more rapid and accurate.
引用
收藏
页码:180510 / 180519
页数:10
相关论文
共 50 条
  • [31] Robust Control Based on Fast Terminal Sliding Mode Control with Adaptive Interval Type-2 Fuzzy PID
    Junjie Dong
    Xingguang Duan
    International Journal of Fuzzy Systems, 2024, 26 : 849 - 859
  • [32] Robust Control Based on Fast Terminal Sliding Mode Control with Adaptive Interval Type-2 Fuzzy PID
    Dong, Junjie
    Duan, Xingguang
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2024, 26 (03) : 849 - 859
  • [33] Interval Type-2 Sliding Mode Fuzzy Controller with a Time-varying Sliding Surface
    Eray, Osman
    Tokat, Sezai
    2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2017, : 866 - 871
  • [34] Sliding Mode Control for Networked Interval Type-2 Fuzzy Systems via Random Multiaccess Protocols
    Yang, Yekai
    Niu, Yugang
    Lam, Hak-Keung
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (11) : 5005 - 5018
  • [35] Sliding mode control of interval type-2 T-S fuzzy systems with redundant channels
    Zhina Zhang
    Yugang Niu
    Nonlinear Dynamics, 2022, 108 : 3579 - 3593
  • [36] Adaptive sliding mode control for interval type-2 stochastic fuzzy systems subject to actuator failures
    Zhang, Zhina
    Niu, Yugang
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2018, 49 (15) : 3169 - 3181
  • [37] Sliding mode control of interval type-2 T-S fuzzy systems with redundant channels
    Zhang, Zhina
    Niu, Yugang
    NONLINEAR DYNAMICS, 2022, 108 (04) : 3579 - 3593
  • [38] Sliding Mode Control Based on Interval Type-2 Fuzzy-Neural Network Controller for an UAV
    Zeghlache, Samir
    Bouguerra, Abderrahmen
    2017 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO), 2017, : 780 - 783
  • [39] Observer based adaptive interval type-2 fuzzy sliding mode control for unknown nonlinear systems
    Wu, Hongzhuang
    Liu, Songyong
    Cheng, Cheng
    Du, Changlong
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (02) : 1799 - 1810
  • [40] Predefined time sliding mode control based on interval type-2 fuzzy emotional neural network
    Jia, Chao
    Yang, Zhiwen
    Shao, Zhiliang
    Li, Yashuai
    NEUROCOMPUTING, 2025, 619