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العنوان
An Artificial Neural Network Based Controller
For Enhancing Slip Energy Recovery For
Induction Motor Drive
الناشر
Engineering/Electrical Power and Machines Department
المؤلف
Howaida Gaber Mohamed
تاريخ النشر
2006
عدد الصفحات
102
الفهرس
يوجد فقط 14 صفحة متاحة للعرض العام

from 130

from 130

المستخلص

Wound-rotor induction motors have been extensively used where a large mechanical power and adjustable speed are required such as large pumps, fans, and hoist drives. The slip ring induction motor is much more flexible than the squirrel-cage induction motor, especially, in the applications where the cost and complexity of a variable frequency supply are not satisfactorily justified.
When the wound rotor induction motor is used to drive a load with limited speed control range, the inherent low efficiency due to rotor copper losses can be greatly improved using slip energy recovery control. The slip energy recovery method is considered as a simple solution over all other alternatives since it offers high efficiency, simple control, high reliability, and attractive torque speed characteristic similar to that of the separately excited DC motor.
This thesis presents a complete MATLAB / SIMULINK simulation study of Slip Energy Recovery Induction Motor Drive (SERD) systems, with accurate and detailed representation of system components. Currents and voltages waveforms and the drive performance characteristics are obtained by simulation for both steady state and transient conditions.
Proportional Plus Integral (PI) controller is used to improve the system performance during both transient and steady state conditions. The performance characteristics for the SERD system had discussed with choosing the suitable proportional gain (KP) and integral gain (Ki) of the PI controller for different reference speeds and for the whole system.