Implementation of a Neural Network Controller on a DSP for Controlling an Inverted Pendulum System on an X-Y Plane

Abstract

This paper presents the hardware implementation of a neural network controller for controlling an inverted pendulum system on an x-y plane robot. The inverted pendulum system can move on an x-y plane while balancing the angle of the pendulum. Neural network algorithm is implemented on a cost effective DSP board in association with an FPGA chip. The… (More)

Topics

8 Figures and Tables

Cite this paper

@inproceedings{Kim2008ImplementationOA, title={Implementation of a Neural Network Controller on a DSP for Controlling an Inverted Pendulum System on an X-Y Plane}, author={Sung S. Kim and Geun Hyeong Lee and Seul Jung}, year={2008} }