Please use this identifier to cite or link to this item:
http://148.72.244.84:8080/xmlui/handle/xmlui/12949
Title: | Position Control for Flixeble Joint Manipulator Using Artificial Neural Network |
Authors: | Montadar Abas Taher Mohannad Jabbar Mnati Hussain Mahdi |
Issue Date: | 1-Sep-2008 |
Publisher: | University of Diyala – College of Engineering |
Citation: | https://djes.info/index.php/djes/article/view/715 |
Abstract: | The control of a rotating single flexible link manipulator and/or a two-coupled flexible link manipulator arm is a highly nonlinear problem. Due to the distributed flexibility. The Mechanical system of a flexible joint two-degree manipulator robot arm has been designed and implemented by using stepper motor, movement axis and External Model Circuit (EMC) for controller. The (EMC) includes Buffer, stepper motor driver and programmable Input/Output. This system is controlled by using two method .The first is Artificial Neural Networks (ANN). The neural network has a feed-forward topology and learning algorithm used Back-Propagation. The second is direct method to supply the program with co-ordinates as positioning data for initializing the robot arm. |
URI: | http://148.72.244.84:8080/xmlui/handle/xmlui/12949 |
ISSN: | 1999-8716 |
Appears in Collections: | مجلة ديالى للعلوم الهندسية / Diyala Journal of Engineering Sciences (DJES) |
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