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
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;
Conference_Titel :
Control Applications (CCA), 2012 IEEE International Conference on
Conference_Location :
Dubrovnik
Print_ISBN :
978-1-4673-4503-3
Electronic_ISBN :
1085-1992
DOI :
10.1109/CCA.2012.6402397