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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/20493

Title: Artificial neural network model for prediction of dynamical behavior in spray boom
Authors: Mona, Tahmasebi
Roslan, Abd Rahman
Mohammad Gohari
???metadata.dc.contributor.url???: tahmasebi.mona@gmail.com
Keywords: Artificial neural network;Vibration of spray boom;Mathematical model
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: School of Mechatronic Engineering
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)
Abstract: Spray booms are usually used in farming to broadcast pesticide and chemicals. Nowadays, the widths of sprayers are increasing permanently due to increase in the width of farm yards. This issue leads to unwanted vibration in sprayer, causing overdoses or under-doses on the field. In active vibration control of sprayers, a model to predict the dynamical behavior of sprayer is necessary. In this study, a novel method is presented to predict dynamic behavior in spray boom by using artificial neural network modeling. The agreement between predicted values model and actual values is near 73%. The accuracy of this model shows this model can be applicable in adaptive control systems.
Description: International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/20493
Appears in Collections:Conference Papers

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