Real Time Control of Ball and Beam System with Model Reference Adaptive Control Strategy using MIT Rule

被引:0
|
作者
Jain, Priyank [1 ]
Nigam, M. J. [1 ]
机构
[1] Indian Inst Technol, Dept Elect & Commun Engn, Roorkee, Uttar Pradesh, India
关键词
Adaptive controller; ball and beam system; gradient theory; MIT rule; model reference adaptive controller; real time control;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
During real time control of a dynamic system, one needs to design control systems with advanced control strategies to handle inherent nonlinearities and disturbances. This paper deals with the designing of a model reference adaptive control system with the use of MIT rule for real time control of a ball and beam system. This paper uses the gradient theory to develop MIT rule in which one or more parameters of adaptive controller needs to be adjusted so that the plant could track the reference model. A linearized model of ball and beam system is used in this paper to design the controller on MATLAB and the designed controller is then applied for real time control of ball and beam system. Simulations carried on SIMULINK and MATLAB show good performance of the designed adaptive controller in real time.
引用
收藏
页码:305 / 308
页数:4
相关论文
共 50 条
  • [1] Effect of adaptation gain on system performance for model reference adaptive control scheme using MIT rule
    Swarnkar, Pankaj
    Jain, Shailendra
    Nema, R.K.
    World Academy of Science, Engineering and Technology, 2010, 46 : 620 - 625
  • [2] Modeling and Analysis of Model Reference Adaptive Control by Using MIT and Modified MIT Rule for Speed Control of DC Motor
    Swathi, M.
    Ramesh, P.
    2017 7TH IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2017, : 482 - 486
  • [3] Adaptive Control of a Ball and Beam System
    Versloot, Josie
    Parrott, Edward
    Dubay, Rickey
    2020 14TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON2020), 2020,
  • [4] PID control of ball and beam system - A real time experimentation
    Sathiyavathi, S.
    Krishnamurthy, K.
    JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 2013, 72 (08): : 481 - 484
  • [5] Visual Servoing based Model Reference Adaptive Control with Lyapunov Rule for a Ball on Plate Balancing System
    Mani, Geetha
    Sivaraman, Natarajan
    Kannan, Ramani
    2018 INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEM (ICIAS 2018) / WORLD ENGINEERING, SCIENCE & TECHNOLOGY CONGRESS (ESTCON), 2018,
  • [6] Real-Time Speed Control of an Electrically Powered Wheelchair by Using Fractional Order Model Reference Adaptive System Control
    Ayten, Kagan Koray
    ELEKTRONIKA IR ELEKTROTECHNIKA, 2018, 24 (05) : 26 - 35
  • [7] Adaptive Cruise Control System for an Electric Vehicle Using a Fractional Order Model Reference Adaptive Strategy
    Balaska, Hanane
    Ladaci, Samir
    Schulte, Horst
    Djouambi, Abdelbaki
    IFAC PAPERSONLINE, 2019, 52 (13): : 194 - 199
  • [8] An Adjustable Model Reference Adaptive Control for a Time Delay System
    Khoshnood, A. M.
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2014, 136 (05):
  • [9] MODEL REFERENCE ADAPTIVE CONTROL WITH SMITH PREDICTOR USING THE MIT RULE FOR A TWO-DEGREE-OF-FREEDOM SHAKE TABLE
    Augusto Nunez-Rodriguez, Rafael
    INGENIERIA SOLIDARIA, 2013, 9 (16): : 89 - 95
  • [10] Real-time control performance of a model-reference adaptive structural control system under earthquake excitation
    Chu, Shih-Yu
    Lo, Shih-Chieh
    Chang, Ming-Chia
    STRUCTURAL CONTROL & HEALTH MONITORING, 2010, 17 (02): : 198 - 217