Fuzzy Cooperative Control for the Stabilization of the Rotating Inverted Pendulum System

被引:0
作者
Wang, Yujue [1 ]
Mao, Weining [1 ]
Wang, Qing [1 ]
Xin, Bin [1 ]
机构
[1] Beijing Inst Technol, Sch Automat, 5 South St,Zhongguancun, Beijing 100081, Peoples R China
关键词
particle swarm optimization; parameter self-tuning; fuzzy control; cooperative control;
D O I
10.20965/jaciii.2023.p0360
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The rotating inverted pendulum is a nonlinear, multi-variate, strongly coupled unstable system, and study-ing it can effectively reflect many typical control prob-lems. In this paper, a parameter self-tuning fuzzy controller is proposed to perform the balance con-trol of a single rotating inverted pendulum. Particle swarm optimization is used to adjust its control pa-rameters, and simulation experiments are performed to show that the system can achieve stability with the designed parametric self-tuning fuzzy controller, with control performance better than that of the con-ventional fuzzy controller. Furthermore, the leader -follower control strategy is used to realize the cooper-ative control of multiple rotating inverted pendulums. Two QUBE-Servo 2 rotating inverted pendulums are used for a cooperative pendulum swing-up experiment and stabilization experiment, and the effectiveness of the proposed cooperative control strategy is verified.
引用
收藏
页码:360 / 371
页数:12
相关论文
共 24 条
  • [1] Control of Incontinent Urine by Using External Drainage
    Barber, Knowlton E.
    Adams, John F.
    Sosinski, Leonard D.
    [J]. AMERICAN JOURNAL OF NURSING, 1949, 49 (08) : 526 - 527
  • [2] Chakraborty K., 2015, INDONESIAN J ELECT E, V3, P167, DOI [10.52549/ijeei.v3i3.148, DOI 10.52549/IJEEI.V3I3.148]
  • [3] Dastranj M.R., 2012, INT J COMPUTER THEOR, V4, P429, DOI [10.7763/IJCTE.2012.V4.499, DOI 10.7763/IJCTE.2012.V4.499]
  • [4] Deqing Yang, 2018, IOP Conference Series: Materials Science and Engineering, V452, DOI 10.1088/1757-899X/452/4/042179
  • [5] Fault Diagnosis and Reconfiguration for Mobile Robot Localization Based on Multi-Sensors Data Fusion
    Hachemi, Linda
    Guiatni, Mohamed
    Nemra, Abedlkrim
    [J]. UNMANNED SYSTEMS, 2022, 10 (01) : 69 - 91
  • [6] PID Controller Design Using LQR Method in the Inverted Pendulum
    Houng-Kun, Joung
    Ju, Lee
    [J]. ADVANCED SCIENCE LETTERS, 2016, 22 (11) : 3377 - 3380
  • [7] John J., 2014, INT J SOFT COMPUTING, V4, P73
  • [8] Liu Hao-mei, 2012, Journal of Central South University (Science and Technology), V43, P3496
  • [9] Research on Swing up Control Based on Energy for the Pendubot System
    Ordaz, Patricio
    Espinoza, Eduardo S.
    Munoz, Filiberto
    [J]. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2014, 136 (04):
  • [10] Network-based optimal controller design based on QoS
    School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, China
    [J]. Zidonghua Xuebao, 2007, 2 (214-217): : 214 - 217