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ROBUST ANN CONTROL SYSTEM DESIGN AND BUILDING FOR AN AUTONOMOUS MOBILE ROBOT BASED ON FPAA | ||
| AL-TAQANI | ||
| Article 1, Volume 26, Issue 2, 2013, Pages 0-0 | ||
| Authors | ||
| Thair A. Salih; Omar Ibrahim Yehya | ||
| Abstract | ||
| It is difficult to find an autonomous robot capable of performing certain services in a real environment. One advantage of a robot is its ability to accomplish many of the tasks entrusted to him with high efficiency compared to that of humans. This paper aims to design and implement a robot system which has the ability to move along a predefined path and move with discretion through a place in so many forms. A field programmable analog array (FPAA) technology has been used in building the artificial neural network (ANN) controller system on the route of the robot which minimizes the tracking error to the goal point, while simultaneously maximizing the distance away from obstacles. The proposed robot system was tested, which showed the possibility of movement and it completed the required tasks with high accuracy according to the path planned. | ||
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