Stabilisation of a rotary inverted pendulum system with double-PID and LQR control: experimental verification

被引:14
|
作者
Tang, Teng Fong [1 ]
Chong, Shin Horng [1 ]
Pang, Kee Kiat [1 ]
机构
[1] Univ Teknikal Malaysia Melaka, Fac Elect Engn, Ctr Robot & Ind Automat, Durian Tunggal 76100, Melaka, Malaysia
关键词
rotary inverted pendulum; RIP; mathematical modelling; linear quadratic regulator; LQR; proportional-integral-derivative; PID; Taguchi method; Ziegler-Nichols method; control;
D O I
10.1504/IJAAC.2020.103799
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Rotary inverted pendulum (RIP) system is an under-actuated system. The RIP system consists of a pendulum, which is rotating freely in the vertical plane. A swing-up action using a pivot arm in the horizontal plane would then result in the pendulum to achieve upright equilibrium point. This paper describes the design of double proportional-integral-derivative (PID) controls with a linear quadratic regulator (LQR) controller for the stabilisation control of a RIP system. Besides, the dynamic model of the RIP system is described too. The LQR controller was tuned using Taguchi method of design of experiments (DoE). The double-PID controller was designed using Ziegler-Nichols second method, which the LQR controller is embedded in the RIP system to improve the stabilisation performance. The effectiveness of the double-PID and LQR controller is clarified with a RIP experimentally. The proposed controller has demonstrated succeed stable the pendulum within 0.5 degrees in three seconds and the rotary arm within 22.5 degrees.
引用
收藏
页码:18 / 33
页数:16
相关论文
共 50 条
  • [31] Optimal control for balancing a rotary inverted pendulum: An experimental setting
    Herrera, Daniel
    Monllor, Matias
    Carelli, Ricardo
    Carstensen, Jan
    Wagner, Bernardo
    2017 XVII WORKSHOP ON INFORMATION PROCESSING AND CONTROL (RPIC), 2017,
  • [32] Fractional PID based stability control for a single link rotary inverted pendulum
    Liao, Wudai
    Liu, Zhengbo
    Wen, Shengjun
    Bi, Shuhui
    Wang, Dongyun
    2015 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2015, : 562 - 566
  • [33] LQR self-adjusting based control for the planar double inverted pendulum
    Zhang, Jiao-long
    Zhang, Wei
    INTERNATIONAL CONFERENCE ON APPLIED PHYSICS AND INDUSTRIAL ENGINEERING 2012, PT C, 2012, 24 : 1669 - 1676
  • [34] Stabilization of Rotary Inverted Pendulum using PID Controller
    Lal, Adharsh M.
    Kunjumuhammed, Anas
    Tomy, Jithin
    Urmila, G.
    Sivadas, Meera
    Mohan, Ambili
    2021 8TH INTERNATIONAL CONFERENCE ON SMART COMPUTING AND COMMUNICATIONS (ICSCC), 2021, : 376 - 380
  • [35] System design for inverted pendulum using LQR control via IoT
    Maneetham D.
    Sutyasadi P.
    International Journal for Simulation and Multidisciplinary Design Optimization, 2020, 11
  • [36] LQR self-adjusting based control for the planar double inverted pendulum
    Zhang, Jiao-long
    Zhang, Wei
    2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL III, 2010, : 462 - 465
  • [37] Performance Comparison of LQR and ANFIS Controller for Stabilizing Double Inverted Pendulum System
    Mohan, Vijay
    Singh, Narinder
    2013 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTING AND CONTROL (ISPCC), 2013,
  • [38] Performance Comparison Between PID and LQR Control on a 2-wheel Inverted Pendulum Robot
    Murcia, Harold F.
    Gonzalez, Andres E.
    2016 IEEE COLOMBIAN CONFERENCE ON ROBOTICS AND AUTOMATION (CCRA), 2016,
  • [39] Switching control of a rotary inverted pendulum
    Suto, Boglarka
    Lendek, Zsofia
    2022 26TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2022, : 111 - 116
  • [40] Research and Verification on Swing-Up Control algorithm of Rotary Inverted Pendulum
    Qin, Haohua
    Shao, Wei
    Guo, Lantian
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 4941 - 4945