Adaptive robust swing-up and balancing control of acrobot using a fuzzy disturbance observer

被引:1
|
作者
Jeong S. [1 ]
Lee S. [1 ]
Hong Y.-D. [1 ]
Chwa D. [1 ]
机构
[1] Department of Electrical and Computer Engineering, Ajou University
关键词
Acrobot system; Adaptive robust control; Balancing control; Dynamic coupling; Fuzzy disturbance estimation method; Limit cycle phenomenon; Swing-up control; Underactuated system;
D O I
10.5302/J.ICROS.2016.16.0025
中图分类号
学科分类号
摘要
This paper proposes an adaptive robust control method for an acrobot system in the presence of input disturbance. The acrobot system is a typical example of the underactuated system with complex nonlinearity and strong dynamic coupling. Also, disturbance can cause limit cycle phenomenon which appears in the acrobot system around the desired unstable equilibrium point. To minimize the effect of the disturbance, we apply a fuzzy disturbance estimation method for the swing-up and balancing control of the acrobot system. In this paper, both disturbance observer and controller for the acrobot system are designed and verified through mathematical proof and simulations. © ICROS 2016.
引用
收藏
页码:346 / 352
页数:6
相关论文
共 50 条
  • [21] Creation of swing-up motion pattern using evolutionary computation for an acrobot
    Kawada, K
    Mada, Y
    Proceedings of the Sixth IASTED International Conference on Intelligent Systems and Control, 2004, : 427 - 432
  • [22] A swing-up of the acrobot based on a simple pendulum strategy
    Mahindrakar, AD
    Banavar, RN
    INTERNATIONAL JOURNAL OF CONTROL, 2005, 78 (06) : 424 - 429
  • [23] Gain selection criterion for the swing-up control of the Acrobot using collocated partial feedback linearisation
    De Almeida, Ricardo
    Nyandoro, Otis
    2017 IEEE AFRICON, 2017, : 434 - 439
  • [24] Swing-up control of the Acrobot using a new partial linearization controller based on the Lyapunov theorem
    Henmi, Tomohiro
    Deng, Mingcong
    Inoue, Akira
    PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, 2006, : 60 - 65
  • [25] A robust control approach to the swing up control problem for the Acrobot
    Xin, X
    Kaneda, M
    IROS 2001: PROCEEDINGS OF THE 2001 IEEE/RJS INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4: EXPANDING THE SOCIETAL ROLE OF ROBOTICS IN THE NEXT MILLENNIUM, 2001, : 1650 - 1655
  • [26] Fuzzy Control for the Swing-Up of the Inverted Pendulum System
    Wu, Yu
    Zhu, Peiyi
    INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT II, 2011, 135 : 454 - 460
  • [27] Combining Deep Reinforcement Learning And Local Control For The Acrobot Swing-up And Balance Task
    Gillen, Sean
    Molnar, Marco
    Byl, Katie
    2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2020, : 4129 - 4134
  • [28] Adaptive fuzzy control of a quadrotor using disturbance observer
    Li, Chuang
    Wang, Yujia
    Yang, Xuebo
    AEROSPACE SCIENCE AND TECHNOLOGY, 2022, 128
  • [29] Swing up control of the acrobot using genetic programming
    Fukushima, Ryo
    Uezato, Eiho
    IEEJ Transactions on Electronics, Information and Systems, 2009, 129 (07) : 1282 - 1287
  • [30] Energy-Based Swing-Up Control for a Remotely Driven Acrobot: Theoretical and Experimental Results
    Xin, Xin
    Yamasaki, Taiga
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2012, 20 (04) : 1048 - 1056