PID-Neural controller based on AVR Atmega128

Author

Pham, Xuan Khanh ; Vo, Doan Que Anh ; Nguyen, Ngoc Hai ; Cao, The Phong

Author_Institution

Fac. of Electron. Eng., Hanoi Univ. of Ind., Hanoi

fYear

2008

fDate

17-20 Dec. 2008

Firstpage

1573

Lastpage

1576

Abstract

This paper concerns designing of PID-Neural controller, a neural network PID controller based on AVR ATmega128. It also discusses the corresponding learning algorithm, Brandt-Lin algorithm and the application of the PID-Neural controller to a DC motor. This new controller has more advantage than the traditional one, such as more convenient in parameter regulation, better robust, more independence and adaptability on the plant, etc.

Keywords

DC motors; control system synthesis; machine control; neurocontrollers; three-term control; voltage control; AVR Atmegal28; Brandt-Lin algorithm; DC motor; PID-neural controller; learning algorithm; parameter regulation; Artificial neural networks; Automatic control; Feedforward neural networks; Microcontrollers; Neural networks; Neurons; Recurrent neural networks; Robotics and automation; Robust control; Three-term control; Atmega128; Brandt-Lin algortihtm; PID-Neural controller; learning algorithm; neural network PID controller; parameter regulation (key words);

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on

Conference_Location

Hanoi

Print_ISBN

978-1-4244-2286-9

Electronic_ISBN

978-1-4244-2287-6

Type

conf

DOI

10.1109/ICARCV.2008.4795759

Filename

4795759