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DC Field | Value | Language |
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dc.contributor.author | B. G. D., Achintha Madhusanka | - |
dc.contributor.author | W. R., de Mel | - |
dc.date.accessioned | 2012-05-31T14:09:55Z | - |
dc.date.available | 2012-05-31T14:09:55Z | - |
dc.date.issued | 2012-02-27 | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/19504 | - |
dc.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. | en_US |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.relation.ispartofseries | Proceedings of the International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) | en_US |
dc.subject | Dynamic modelling | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Twin-rotor system | en_US |
dc.title | Adaptive trajectory control for the twin rotor MIMO system using artificial neural networks | en_US |
dc.type | Working Paper | en_US |
dc.publisher.department | Pusat Pengajian Kejuruteraan Mekatronik | en_US |
dc.contributor.url | achintha121@yahoo.com | en_US |
dc.contributor.url | wrmel@ou.ac.lk | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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AM16.pdf | Access is limited to UniMAP community | 148.72 kB | Adobe PDF | View/Open |
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