Application of Adaptive Control Using Neural Networks In On Line of Real Time Control Systems

تاريخ النشر

2010

نوع المقالة

رسالة ماجستير

عنوان الرسالة

كلية الهندسة - جامغة طرابلس

المؤلفـ(ون)

نوري احمد عقاب

ملخص

Abstract

The dynamic model of the heat process trainer PT326 is obtained experimentally by using the Ziegler–Nichols approximation and the system identification MATLAB toolbox. The interfacing data acquisition card is developed in two different designs the first design by using analog to digital, digital to analog IC's (ADC and DAC) and the parallel port, and the other design by using microcontroller and serial port. These two designs were tested in the department and give good results. The velocity PID controller is implemented through the developed cards in real time control system. An adapted neural network algorithm using the backpropagation approximation is tested on real time in the heat process trainer PT326. This research gives a good background for any control and computer engineer in the area of data acquisition and real time control system. The simulation results are the same as the online results of the real time Heat process control system.