Title :
Neuro sliding mode controller for twin rotor control system
Author_Institution :
Dept. of Electr. Eng., Motilal Nehru Nat. Inst. of Technol., Allahabad, India
Abstract :
This paper presents a neuro sliding mode controller for the twin rotor control system (TRCS). The TRCS belongs to a class of nonlinear systems having unstable coupled dynamics. A method is proposed to design a switching surface in the presence of mismatched uncertainties. The nonlinearities of the TRCS are assumed to be unknown, which are estimated using Chebyshev neural network (CNN). The design technique is simple and computationally efficient. The validity of the controller is demonstrated with simulation results.
Keywords :
machine control; neurocontrollers; nonlinear control systems; rotors; variable structure systems; CNN; Chebyshev neural network; TRCS; neuro sliding mode controller; nonlinear systems; twin rotor control system; unstable coupled dynamics; Artificial neural networks; Helicopters; Rotors; Simulation; Sliding mode control; Trajectory; Chebyshev neural network; nonlinear systems; sliding mode control; twin rotor control system;
Conference_Titel :
Engineering and Systems (SCES), 2012 Students Conference on
Conference_Location :
Allahabad, Uttar Pradesh
Print_ISBN :
978-1-4673-0456-6
DOI :
10.1109/SCES.2012.6199029