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

Author

Ibarra-Manzano, Mario A. ; Almanza-Ojeda, Dora L. ; Hernández-Gutiérrez, Andrés ; Amezquita-Sánchez, Juan P. ; López-Martínez, Luis F.

Author_Institution

Fac. de Ingeneria Mecanica, Electrica y Electronica, Guanajuato Univ., Salamanca

fYear

2006

fDate

7-10 Nov. 2006

Firstpage

226

Lastpage

229

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.

Keywords

adaptive control; control system CAD; neural nets; self-adjusting systems; DSP; PID; angular velocity; artificial neural network; closed loop system; digital control; digital signal process; embedded system; motor control; proportional-derivative-integral control; self-tuning control design; Artificial neural networks; Automatic control; Biomedical signal processing; Control systems; Control theory; Embedded system; Industrial control; Intelligent control; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Photonics, 2006. MEP 2006. Multiconference on

Conference_Location

Guanajuato

Print_ISBN

1-4244-0627-7

Electronic_ISBN

1-4244-0628-5

Type

conf

DOI

10.1109/MEP.2006.335669

Filename

4135753