Type-2 Fuzzy Logic Control of a 2-DOF Helicopter (TRMS system)

被引：13
|
作者：
Zeghlache, Samir [1 ]
Kara, Kamel [2 ]
Saigaa, Djamel [1 ,3 ]
机构：
[1] Univ Msila, Fac Technol, Dept Elect, LASS Lab, Msila, Algeria
[2] Univ Blida, Fac Engn Sci, Dept Elect, SET Lab, Blida, Algeria
[3] Univ Biskra, Fac Sci & Technol, Dept Elect Engn, LMSE Lab, Biskra, Algeria
来源：
OPEN ENGINEERING | 2014年 / 4卷 / 03期
关键词：
Type 2 fuzzy logic; Dynamic modeling; TRMS system; Nonlinear system;
D O I：
10.2478/s13531-013-0157-y
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The helicopter dynamic includes nonlinearities, parametric uncertainties and is subject to unknown external disturbances. Such complicated dynamics involve designing sophisticated control algorithms that can deal with these difficulties. In this paper, a type 2 fuzzy logic PID controller is proposed for TRMS (twin rotor mimo system) control problem. Using triangular membership functions and based on a human operator experience, two controllers are designed to control the position of the yaw and the pitch angles of the TRMS. Simulation results are given to illustrate the effectiveness of the proposed control scheme.
引用
收藏
页码：303 / 315
页数：13
相关论文
共 50 条
  • [21] Nonlinear autopilot control design for a 2-DOF helicopter model
    Kaloust, J
    Ham, C
    Qu, Z
    IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 1997, 144 (06): : 612 - 616
  • [22] Pitch and Yaw Angular Motions (Rotations) Control of the 1-DOF and 2-DOF TRMS: A Survey
    David Mohammed Ezekiel
    Ravi Samikannu
    Oduetse Matsebe
    Archives of Computational Methods in Engineering, 2021, 28 : 1449 - 1458
  • [23] Intelligent autopilot control design for a 2-DOF helicopter model
    Jafarzadeh, Saeed
    Mirheidari, Rooholah
    Motlagh, Mohammad Reza Jahed
    Barkhordari, Mojtaba
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2008, 3 : 337 - 342
  • [24] DESIGN OF A FUZZY LOGIC CONTROLLER FOR A 2-DOF ROBOT MANIPULATOR
    Ayas, Mustafa Sinasi
    Danayiyen, Yahya
    Altas, Ismail Hakki
    2013 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION (ICECCO), 2013, : 265 - 268
  • [25] Trajectory Tracking of a 2-DOF Helicopter System using Neuro-Fuzzy System with Parameterized Conjunctors
    Aras, Ayse Cisel
    Kaynak, Okyay
    2014 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2014, : 322 - 326
  • [26] Adaptive type-2 fuzzy logic control of a bioreactor
    Galluzzo, Mose
    Cosenza, Bartolomeo
    CHEMICAL ENGINEERING SCIENCE, 2010, 65 (14) : 4208 - 4221
  • [27] The Type-2 Fuzzy Logic Control of the Induction Motor
    Rafa, Souad
    Essounbouli, Najib
    Hamzaoui, Abdelaziz
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014), 2015, 1648
  • [28] Type-2 Fuzzy Logic Control for Airlane Monitoring
    Shrinivasan, Lakshmi
    Raol, J. R.
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2017, : 412 - 416
  • [29] Control of the TORA System Using SIRMs based Type-2 Fuzzy Logic
    Li, Chengdong
    Yi, Jianqiang
    Zhao, Dongbin
    2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 2009, : 694 - 699
  • [30] Learning Rules for Type-2 Fuzzy Logic System in the Control of DeNOx Filter
    Kacprowicz, Marcin
    Niewiadomski, Adam
    Renkas, Krzysztof
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT I, 2015, 9119 : 184 - 194
12345