Twin Rotor MIMO System Control using Linear Quadratic Regulator with Simechanics

被引:0
|
作者
Fahmizal [1 ]
Nugroho, Hanung Adi [1 ]
Cahyadi, Adha Imam [1 ]
Ardiyanto, Igi [1 ]
机构
[1] Univ Gadjah Mada, Dept Elect Engn & Informat Technol, Yogyakarta, Indonesia
关键词
TRMS; LQR; MIMO; Simechanics;
D O I
10.1109/ICEEIE52663.2021.9616893
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a linear quadratic regulator (LQR) for controlling a twin rotor MIMO system (TRMS) with Simechanics simulation. TRMS is a nonlinear multivariable system that can test flight control algorithms. Due to its high nonlinearity, problems arise when controlling motor speed variations in the main rotor and tail rotor. Thus, LQR control is implemented, so that the interaction between the main rotor control and the tail rotor can be designed accordingly. For additional functionality, we add Nbar gain to reduce steady-state error. The results obtained have improved the system to be more stable and increase response time compared to PID control. Lastly, a demonstration of the effectiveness of the proposed approach is provided by the Matlab environment using Simechanics.
引用
收藏
页码:301 / 306
页数:6
相关论文
共 50 条
  • [41] Improvement of the twin rotor MIMO system tracking and transient response using fuzzy control technology
    Liu, Chuan-Sheng
    Chen, Liang-Rui
    Li, Bing-Ze
    Chen, Shih-Kai
    Zeng, Zhao-Syong
    2006 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, 2006, : 1411 - 1416
  • [42] Improvement of the twin rotor MIMO system tracking and transient response using fuzzy control technology
    Liu, Chuan-Sheng
    Chen, Liang-Rui
    Li, Bing-Ze
    Chen, Shih-Kai
    Zeng, Zhao-Syong
    ICIEA 2006: 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, PROCEEDINGS, 2006, : 179 - 184
  • [43] Control of twin-rotor MIMO system using multiple models with second level adaptation
    Pandey, Vinay Kumar
    Kar, Indrani
    Mahanta, Chitralekha
    IFAC PAPERSONLINE, 2016, 49 (01): : 676 - 681
  • [44] Improved Twin Rotor mimo System tracking and transient response using Fuzzy control technology
    Liu, Chuan-Sheng
    Chen, Liang-Rui
    Ting, Chen-Sheng
    Hwang, Jonq-Chin
    Wu, Shing-Lih
    Journal of Aeronautics, Astronautics and Aviation, 2011, 43 (01): : 37 - 43
  • [45] Active Suspension System Design Using Fuzzy Logic Control and Linear Quadratic Regulator
    Abdeen, Ahmed A.
    Ibrahim, Khalil
    Nasr, Abo-Bakr M.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2018, 2019, 845 : 152 - 166
  • [46] A centralized control system for ecological vehicle platooning using linear quadratic regulator theory
    Anan Kaku
    Masakazu Mukai
    Taketoshi Kawabe
    Artificial Life and Robotics, 2012, 17 (1) : 70 - 74
  • [47] A centralized control system for ecological vehicle platooning using linear quadratic regulator theory
    Kaku, Anan
    Mukai, Masakazu
    Kawahe, Taketoshi
    PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 17TH '12), 2012, : 755 - 758
  • [48] ACTIVE CONTROL OF QUARTER-CAR SUSPENSION SYSTEM USING LINEAR QUADRATIC REGULATOR
    Nagarkar, M. P.
    Vikhe, G. J.
    Borole, K. R.
    Nandedkar, V. M.
    INTERNATIONAL JOURNAL OF AUTOMOTIVE AND MECHANICAL ENGINEERING, 2011, 3 : 364 - 372
  • [49] Control of power in the grid integrated solar photovoltaic system using linear quadratic regulator
    Vinifa, R.
    Kavitha, A.
    Selwynraj, A. Immanuel
    MATERIALS TODAY-PROCEEDINGS, 2021, 45 : 981 - 985
  • [50] A centralized control system for ecological vehicle platooning using linear quadratic regulator theory
    Kaku, Anan
    Mukai, Masakazu
    Kawabe, Taketoshi
    ARTIFICIAL LIFE AND ROBOTICS, 2012, 17 (01) : 70 - 74