Output Feedback Linearization Based Controller for a Helicopter-like Twin Rotor MIMO System

被引:15
作者
Chemachema, Mohamed [1 ]
Zeghlache, Samir [2 ]
机构
[1] Constantine 1 Univ, Technol Sci Fac, Dept Elect, Constantine, Algeria
[2] Msila Univ, Fac Technol, Dept Elect, Msila, Algeria
关键词
Twin Rotor MIMO System (TRMS); Feedback linearization; Observer based control; Stability;
D O I
10.1007/s10846-014-0129-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, an output feedback linearization based controller is designed to stabilize the Twin Rotor Multi-input Multi-output System (TRMS), and make its beam track accurately a reference signal, or reach desired positions in 2 DOF. Only yaw and pitch angles are considered available for measurement. An observer, to estimate the remaining states, is coupled with feedback linearization technique in a two-stage procedure. In the first stage, propellers thrusts are considered as virtual control inputs that lead to a TRMS canonical model for which feedback linearization is applied straightforwardly. In the second stage, the motors torques and actual control input voltages are computed, respectively, by solving algebraic equations and inverting motors models. In the proposed approach, the coupling effects are maintained in controller derivation and so there is no need to decouple the TRMS into horizontal and vertical subsystems, as usually done in the literature. Exponential stability of the closed loop is guaranteed by using the second method of Lyapunov. To show the performance and the effectiveness of the proposed controller, simulation results are presented.
引用
收藏
页码:181 / 190
页数:10
相关论文
共 12 条
[1]  
[Anonymous], 2006, TWIN ROT MIMO SYST M
[2]   Experimental Validation of a Helicopter Autopilot Design using Model-Based PID Control [J].
Godbolt, Bryan ;
Vitzilaios, Nikolaos I. ;
Lynch, Alan F. .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2013, 70 (1-4) :385-399
[3]   Comparison of classical control and intelligent control for a MIMO system [J].
Juang, Jih-Gau ;
Lin, Ren-Wei ;
Liu, Wen-Kai .
APPLIED MATHEMATICS AND COMPUTATION, 2008, 205 (02) :778-791
[4]   PID control using presearched genetic algorithms for a MIMO system [J].
Juang, Jih-Gau ;
Huang, Ming-Te ;
Liu, Wen-Kai .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2008, 38 (05) :716-727
[5]   A hybrid intelligent controller for a twin rotor MIMO system and its hardware implementation [J].
Juang, Jih-Gau ;
Liu, Wen-Kai ;
Lin, Ren-Wei .
ISA TRANSACTIONS, 2011, 50 (04) :609-619
[6]   Real time adaptive nonlinear model inversion control of a twin rotor MIMO system using neural networks [J].
Rahideh, A. ;
Bajodah, A. H. ;
Shaheed, M. H. .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2012, 25 (06) :1289-1297
[7]   Constrained output feedback model predictive control for nonlinear systems [J].
Rahideh, A. ;
Shaheed, M. H. .
CONTROL ENGINEERING PRACTICE, 2012, 20 (04) :431-443
[8]   A Survey on Methods for Elaborated Modeling of the Mechanics of a Small-Size Helicopter. Analysis and Comparison [J].
Sandino, Luis A. ;
Bejar, Manuel ;
Ollero, Anibal .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2013, 72 (02) :219-238
[9]  
Slotine J. J., 1991, APPL NONLINEAR SYSTE
[10]   Design of a parallel distributed fuzzy LQR controller for the twin rotor multi-input multi-output system [J].
Tao, C. W. ;
Taur, J. S. ;
Chen, Y. C. .
FUZZY SETS AND SYSTEMS, 2010, 161 (15) :2081-2103