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Control neuronal de un sistema de equilibrio (péndulo invertido) en dispositivos lógicos programables
| Content Provider | Semantic Scholar |
|---|---|
| Author | Durán, Johnny Omar Medina Herrera, Norbey Chinchilla Quintero, Ruby Daniela Vargas Chaustre, Yesenia Restrepo |
| Copyright Year | 2017 |
| Abstract | This paper presents the implementation of a neural network for controlling FeedFoward balance on two wheels system (inverted pendulum) in a Card Nexys 2 Digilent development containing a FPGA (Field Programmable Gate Array) XC3S500E. NNTool tool of Matlab was used for the creation, training and simulation of neural network. The neural algorithm is translated into a workable model in hardware, using block diagrams, using tools Simulink and Xilinx System Generator (XSG). The neural network validation is performed on a prototype of balance on two wheels, this system has an inertial measurement unit (IMU 6DOF-MPU 6050), which includes an accelerometer and three-axis gyroscope each and 2 geared motors with magnetic encoder , used as actuators. |
| Starting Page | 40 |
| Ending Page | 51 |
| Page Count | 12 |
| File Format | PDF HTM / HTML |
| DOI | 10.17081/invinno.4.2.2488 |
| Volume Number | 4 |
| Alternate Webpage(s) | http://revistas.unisimon.edu.co/index.php/innovacioning/article/download/2488/2432 |
| Alternate Webpage(s) | https://doi.org/10.17081/invinno.4.2.2488 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
