Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : motor


Speed Control For Separately Excited DC Motor Drive (SEDM) Based on Adaptive Neuro-Fuzzy Logic Controller

Alia J. Mohammed

Engineering and Technology Journal, 2013, Volume 31, Issue 2, Pages 277-295

This paper presents an application of Fuzzy Logic Control (FLC) in the separately excited Direct Current (DC) motor drive (SEDM) system; the controller designed according to Fuzzy Logic rules. Such that the system is fundamentally robust. These rules have capability learning, can learn and tune rapidly, even if the motor parameters are varied. The most commonly used method for the speed control of dc motor is Proportional- Integral- Derivative (PID) controller. Simulation results demonstrate that, the control algorithms Neuro-Fuzzy logic and PID, the dynamic characteristics of the SEDM (speed, torque, as well as currents) are easily observed and analyzed by the developed model. In comparison between the Neuro-fuzzy logic controller and PID controller, the FLC controller obtains better dynamic behavior and superior performance of the DC motor as well as perfect speed tracking with no overshoot, and the proposed controller provides high performance dynamic characteristics and is robust with regard to change of motor speed and external load disturbance. This paper also discusses and compares the speed control systems of SEDM using PID- controller conventional and Fuzzy Logic-controller. The entire system has been modeled using MATLAB 10a/SIMULINK toolbox.

A Particle Swarm Optimization (PSO) Based Optimum of Tuning PID Controller for a Separately Excited DC Motor (SEDM)

Alia J. Mohammed

Engineering and Technology Journal, 2011, Volume 29, Issue 16, Pages 3331-3344

The PID algorithm is the most popular feedback controller used within the process industries. It is robust easily understood algorithm that can provide excellent control performance despite the varied dynamic characteristics of process plant. But the tuning of the PID controller parameters is not easy and does not give the optimal required response, especially with non-liner systems. In the last years emerged
several new intelligent optimization techniques like, Particle Swarm Optimization (PSO) techniques. This paper deals the non-liner mathematical model and simulation for speed control of separately excited D.C. motor with closed loop PID controller. The conventional PID tuning technique is represented as a point of comparison. The
intelligent optimization technique: PSO is proposed to tune the PID controller parameters. The obtained results of the closed loop PSO-PID Controller response shows the excellent response with comparing to the conventional PID, a good results gives in PSO-PID Controller. The simulation results presented in this paper show the effectiveness of the proposed method, which has got a wide number of advantages.

Microcontroller-Based Sun Path Tracking System

Nasir Ahmed Filfil; Deia Halboot Mohussen; Khamis A. Zidan

Engineering and Technology Journal, 2011, Volume 29, Issue 7, Pages 1345-1359

The objective of this paper is to design and construct a solar tracking system
based on a microcontroller. The system design depends on some mathematical
equations to send three signals to drive circuit to change the position of the solar
cell by changing the polarity of two motors. These mathematical equations are used
to compute the solar height angle (elevation) and the solar horizon angle (azimuth),
whereas the usage of the fixed solar cells does not accomplish the desired object,
that means the use of fixed solar cells does not grant a suitable output during a day
and a season, where the sun position differs at the morning to the noon and at the
setting of the sun, this is due to the spherical shape of Earth and to its rotation
around the sun.
The solar cell is controlled vertically and horizontally at period equal to one
hour, whereas the stored data that denote of the sun position is computed each hour
from the sunrise to the sunset, the amount of the stored data is different from a day
to another, this variation is produced by the difference of day length during the
year, whereas the amount of computed data at the summer is more than the amount
of computed data at the winter. The microcontrollers vouch for processing the data
and issue the commands to actuators to change the orientation of the solar cell. All
obtained results are very acceptable, when the system has tested in certain days. By
using the microcontroller, the project efficiency is improved, and the cost of
hardware is reduced.