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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/19504

Title: Adaptive trajectory control for the twin rotor MIMO system using artificial neural networks
Authors: B. G. D., Achintha Madhusanka
W. R., de Mel
???metadata.dc.contributor.url???: achintha121@yahoo.com
Keywords: Dynamic modelling;Neural networks;Twin-rotor system
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: Pusat Pengajian Kejuruteraan Mekatronik
Series/Report no.: Proceedings of the International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012)
Abstract: This paper investigates the development of an adaptive trajectory dynamic non linear model inversion control law for a twin rotor multi-input multi-output system (TRMS) utilizing artificial neural networks. The behaviour of the TRMS in certain aspects resembles that of a helicopter. A highly non linear one degree freedom model of the TRMS is considered in this study and a non linear inverse model is developed for the pitch channel. In the absence of the model inversion errors, an artificial neural network (ANN) model in place of a proportional-integral-derivative (PID) controller is used to enhance the tracking performance of the system. The neural network model is developed using backpropagation algorithm with Levenberg-Marquardt (LM) training method. The responses between the reference signals and empirical based models of the TRMS to validate the accuracy of the models. Simulation results under MATLAB/Simulink prove the improvement of response and superiority of simplified neural network controller.
Description: International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) organized by School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 27th - 28th Februari 2012 at Bayview Beach Resort, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/19504
Appears in Collections:Conference Papers

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