Practical Implementation for the interval type-2 fuzzy PID controller using a low cost microcontroller

被引:30
作者
El-Nagar, Ahmad M. [1 ]
El-Bardini, Mohammad [1 ]
机构
[1] Menoufia Univ, Fac Elect Engn, Dept Ind Elect & Control Engn, Shibin Al Kawm 32852, Egypt
关键词
Interval type-2 fuzzy logic system; Interval type-2 fuzzy PID controller; Inverted pendulum system; Hardware-in-the-loop (HIL) simulation;
D O I
10.1016/j.asej.2013.12.005
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this study, we propose an embedded real-time interval type-2 fuzzy proportional integral - derivative (IT2F-PID) controller which is a parallel combination of the interval type-2 fuzzy proportional - integral (IT2F-PI) controller and the interval type-2 fuzzy proportional derivative (IT2F-PD) controller. The proposed IT2F-PID controller is able to handle the effect of the system uncertainties due to the structure of the interval type-2 fuzzy logic controller. The proposed IT2F-PID controller is implemented practically using a low cost PIC microcontroller for controlling the uncertain nonlinear inverted pendulum to minimize the effect of the system uncertainties due to the uncertainty in the mass of the pendulum, the measurement error in the rotation angle of the pendulum and the structural uncertainty. The test is carried out using the hardware-in-the-loop (HIL) simulation. The experimental results show that the performance of the IT2F-PID controller improves significantly the performance over a wide range of system uncertainties. (C) 2014 Production and hosting by Elsevier B.V. on behalf of Ain Shams University.
引用
收藏
页码:475 / 487
页数:13
相关论文
共 38 条
  • [1] [Anonymous], 2008, STUDFUZZ
  • [2] Fuzzy control of inverted pendulum and concept of stability using Java']Java application
    Becerikli, Yasar
    Celik, B. Koray
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 2007, 46 (1-2) : 24 - 37
  • [3] Bennett S., 1993, IEEE Control Systems Magazine, V13, P58, DOI 10.1109/37.248006
  • [4] Fuzzy PID controller: Design, performance evaluation, and stability analysis
    Carvajal, J
    Chen, GR
    Ogmen, H
    [J]. INFORMATION SCIENCES, 2000, 123 (3-4) : 249 - 270
  • [5] Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithms
    Castillo, O.
    Melin, P.
    Alanis, A.
    Montiel, O.
    Sepulveda, R.
    [J]. SOFT COMPUTING, 2011, 15 (06) : 1145 - 1160
  • [6] Optimization of type-2 fuzzy systems based on bio-inspired methods: A concise review
    Castillo, Oscar
    Melin, Patricia
    [J]. INFORMATION SCIENCES, 2012, 205 : 1 - 19
  • [7] A review on the design and optimization of interval type-2 fuzzy controllers
    Castillo, Oscar
    Melin, Patricia
    [J]. APPLIED SOFT COMPUTING, 2012, 12 (04) : 1267 - 1278
  • [8] Design of interval type-2 fuzzy models through optimal granularity allocation
    Castillo, Oscar
    Melin, Patricia
    Pedrycz, Witold
    [J]. APPLIED SOFT COMPUTING, 2011, 11 (08) : 5590 - 5601
  • [9] Fuzzy decision making systems based on interval type-2 fuzzy sets
    Chen, Shyi-Ming
    Wang, Cheng-Yi
    [J]. INFORMATION SCIENCES, 2013, 242 : 1 - 21
  • [10] Direct adaptive interval type-2 fuzzy logic controller for the multivariable anaesthesia system
    El-Bardini, Mohammad
    El-Nagar, Ahmad M.
    [J]. AIN SHAMS ENGINEERING JOURNAL, 2011, 2 (3-4) : 149 - 160