High Efficiency Speed Control for DC Motor Using Optimal and Adaptive Neural Network Controllers
Sanaa Mohamed Ibrahim Amer;
Abstract
A separately-excited de motor drive system has been used in the industrial field when a wide range and high accurate speed control is necessary. The majority of the installed electric machines operate at two thirds or less of their nominal load. Consequently, need for efficiency improvement is significant. The profit from energy savings is considerable. The energy saving in electric motors is achieved by either designing an energy-efficient motor, or driving the conventional motor under high efficiency conditions. The ratio of the armature current and the field current that gives the maximum efficiency is analytically derived. Two control techniques adopted in this thesis for high efficiency speed control of the de motor. First, the improved optimal regulator theory is applied to the system. The MATLAB SIMULINK software package is utilized for simulating the system performance. Efficiency improvement is achieved specially at light load conditions with adequate transient response.
As the research in artificial neural networks has been recently active and gives more opportunities for control applications, a second method which uses a neurocontroller to obtain the high efficiency operation is adopted. Armature speed control using adaptive neural network is presented, both by simulation and experimental implementation, as a step to generalize the study for high efficiency operation. Robust and adequate steady state and transient performance are achieved.
v
The high efficiency neural network controller is simulated and experimentally implemented using microcomputer with data acquisition card (PC 30 AT).
A neural network software program is developed to adjust the ratio of the field and armarure currents for the purpose of obtaining high efficiency.
Comparison between theoretical and experimental results are carried out and good agreement is observed.
Tile obtained simulation and experimental results show adequate and robust dynamic performance of the system.
As the research in artificial neural networks has been recently active and gives more opportunities for control applications, a second method which uses a neurocontroller to obtain the high efficiency operation is adopted. Armature speed control using adaptive neural network is presented, both by simulation and experimental implementation, as a step to generalize the study for high efficiency operation. Robust and adequate steady state and transient performance are achieved.
v
The high efficiency neural network controller is simulated and experimentally implemented using microcomputer with data acquisition card (PC 30 AT).
A neural network software program is developed to adjust the ratio of the field and armarure currents for the purpose of obtaining high efficiency.
Comparison between theoretical and experimental results are carried out and good agreement is observed.
Tile obtained simulation and experimental results show adequate and robust dynamic performance of the system.
Other data
| Title | High Efficiency Speed Control for DC Motor Using Optimal and Adaptive Neural Network Controllers | Other Titles | التحكم في سرعة محركات التيار المستمر عند كفاءة عالية باستخدام التكم الانثل والشبكات العصبية | Authors | Sanaa Mohamed Ibrahim Amer | Issue Date | 1998 |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| Sanaa Mohamed Ibrahim Amer.pdf | 1.39 MB | Adobe PDF | View/Open |
Similar Items from Core Recommender Database
Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.