Design of intelligent temperature measuring system

مقدم أطروحة جامعية

Ubayd, Ahmad Jabbar

الجامعة

الجامعة التكنولوجية

الكلية

-

القسم الأكاديمي

قسم الهندسة الكهربائية

دولة الجامعة

العراق

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2004

الملخص الإنجليزي

Neural Network, Genetic Algorithm and other intelligent tools have been used by many authors to design an intelligent measuring different types of systems. In this thesis, a method / has been proposed to design a temperature reader and controller for different types of thermocouples.

This suggested system is based on Baekpropagation type Neural Network. The BPNN is used to recognize the induced voltage on the.

Thermocouples for many types of transducers.

As an extension to this system, a general PWM controller has been, simulated to work adaptiveiy with the reading system.. The performance of this suggested system has been demonstrated by using a test example which contains two heaters and one- cooling fan.

One of these two heaters is used for fin temperature control and the other is used for fast heating up. Thermocouples of types (E.

B, T.

J, K.

R and S) have been simulated in this system by using ANN's.

The input to this ANN is the induced EMF signal at the thermocouple end, after a preprocessing stage, a special code is used to represent the type of each T / C-Two types of ANN'S have been tried, the first one simulate the function of (7) T / C types and the second type is simulate the controller Which is responsible on generate aft controlling signals in the system These controlling signals are controlling on the driving circuit which is drive the electrical power into the two heaters and the cooling fan.

The output of the suggested measuring system shows a good match with the actual temperate values.

التخصصات الرئيسية

الهندسة الكهربائية

الموضوعات

• الخوارزميات
• الشبكات العصبية(الحاسبات الإلكترونية)

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-305996