DocumentCode
587378
Title
State observer based robust feedback linearization controller for twin rotor MIMO system
Author
Pratap, Bhanu ; Purwar, Shubhi
Author_Institution
Dept. of Electr. Eng., M.N. Nat. Inst. of Technol., Allahabad, India
fYear
2012
fDate
3-5 Oct. 2012
Firstpage
1074
Lastpage
1079
Abstract
This paper presents, a state observer based controller for the twin rotor multiple-input-multiple-output (MIMO) system. The twin rotor MIMO system (TRMS) belongs to a class of nonlinear system having high coupling effect between two propellers, unstable and nonlinear dynamics. A state observer is designed using coordinate change which transforms the TRMS into an approximate normal form. Based on the proposed observer, a feedback linearization controller is designed for TRMS. The control effort is further compensated using a compensator based on Chebyshev neural network (CNN) to ensure good tracking performance and bounded control effort. Finally simulation results are presented to illustrate the effectiveness of the proposed observer based controller.
Keywords
MIMO systems; compensation; control system synthesis; linearisation techniques; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; observers; robust control; rotors; state feedback; CNN; Chebyshev neural network; TRMS; bounded control effort; compensation; compensator; coupling effect; multiple input multiple output; nonlinear control system; nonlinear dynamic model; propeller; robust feedback linearization controller design; state observer; twin rotor MIMO system; Actuators; MIMO; Nonlinear systems; Observers; Rotors; Transmission line measurements; Vectors; Approximate normal form; Chebyshev neural network; nonlinear system; state observer; twin rotor MIMO system;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications (CCA), 2012 IEEE International Conference on
Conference_Location
Dubrovnik
ISSN
1085-1992
Print_ISBN
978-1-4673-4503-3
Electronic_ISBN
1085-1992
Type
conf
DOI
10.1109/CCA.2012.6402397
Filename
6402397
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