Design and implementation of a self-tuning control using artificial neural networks of second order

Abstract

In this works we present the design and implementation of a self-tuning control using artificial neural networks of second order. The control is implemented as an embedded system through a digital signal process (DSP). This system uses a digital control of closed loop proportional, derivative and integral (PID) self-tuning by artificial neural networks. In this works furthermore is presented a practical application by controller the velocity angular of a motor.