Identification of Positioning System for Industrial Applications using Neural Network
نویسنده
چکیده
The servomotor is an essential element in the automation of industrial processes, and its control is necessary to achieve better performance in applications of industrial positioning. In the systems control, the knowledge of plant model through proper identification is fundamental. This work presents a methodology based on neural networks to obtain the servomotors models on industrial applications related to positioning. The effectiveness of this proposal was tested on the axes of an industrial Robot and a CNC milling machine.
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تاریخ انتشار 2017