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العنوان
CONTROLLER DESIGN OF AN INTELLIGENT PUMPING STATION \
المؤلف
ZOROMBA,AHMED MOHAMED SAYED AHMED.
هيئة الاعداد
باحث / احمد محمد سيد
مشرف / محمد ابراهيم محمود
مشرف / محمد على هلال
مناقش / رضوان حسن عبد الحميد
تاريخ النشر
2005.
عدد الصفحات
141p.;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
هندسة النظم والتحكم
تاريخ الإجازة
1/1/2005
مكان الإجازة
جامعة المنوفية - كلية الهندسة - هندسة التحكم الالى و القياسات
الفهرس
Only 14 pages are availabe for public view

from 141

from 141

Abstract

It is confirmed that the electrical energy demand and hence the electrical operating cost for the
pumping stations network of Egypt are substantial. Hence any attempt for energy cost saving at
the pumping stations network of the country will be very much appreciated. An experimental model of
multi­ pump type, pumping station installed to apply and verifY the modem concepts of power saving
in the irrigation pumping stations of Egypt. This model is built-up to acquire also the intelligent
management and control strategies. The fundamental concepts are to design the pumping station
taking into consideration the mechanical problems elimination. The first part of energy saving is
accomplished by the electronic soft starter; it is used to eliminate the cavitations phenomena.
Also, It is used for soft stopping, which eliminates the water hammering problems. The second part,
which is the main part of the energy saving, is the management of the output water delivery. To
meet the variable needs, the experimental pumpmg station consists of five identical
water pumps. A variable speed derive is used when the water demand is

covered by a fractional of the rated flow of a water pump. The management and control of the pumps
operation is carried out by a programmable logic controller ( PLC ). The linguistic experience and
intelligent operation of this pumping station that is collected from the related senior human being
is stored and operated also by the P LC. Experience operations have been carried out by the
concepts of the Fuzzy logic control to determine the number of pumps to be operated. Intelligent
management is obtained using principals of the artificial intelligence programming. The
verification of the results gives a good agreement between the results obtained from the
application of each concept and the target of that concept.