Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Fuzzy Logic Controller


PSO-FL Controller of Separately Excited DC Motor

Hawraa Q. Hameed

Engineering and Technology Journal, 2013, Volume 31, Issue 11, Pages 2128-2140

This paper presents an application of highbrid controller of a Separately Exited DC Motor (SEDM) using PSO-FL techniques. The controller is designed depending on fuzzy logic rules are such that the systems are fundamentally robust. These rules have capability learning, can learn and tune rapidly, even if the motor parameters are varied. But, adapting fuzzy controller parameters is very complex and depends on operator experience. Therefore a Particle Swarm Optimization technique was adapted for obtaining the centers and the width of triangle inputs membership functions. The FL method is represented too. The complete mathematical model and simulation of a separately excited dc motor is represented using MATLAB10a/SIMULINK. The simulation results demonstrate that the proposed PSO-FL speed controller realizes a good dynamic behavior of the SEDM with very good speed tracking.

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.

Design of Type-2 Fuzzy Logic Controller for a Simple Furnace System

Saba T. Salim

Engineering and Technology Journal, 2012, Volume 30, Issue 8, Pages 1306-1317

Model uncertainty and robustness have been a central theme in the field of automatic control. Many control techniques are used to reduce the effects of uncertainty which may appear in different forms as disturbances, dynamic delays or as other imperfections in the models used.In this paper a comparison between conventional type -1 fuzzy logic controller and type -2 fuzzy logic controller has done in simulation conditions of a simple temperature control of a furnace system to show the great effect of the new generation of fuzzy logic
controllers to improve the performance of a system with high level of uncertainty.

Implementing Fuzzy Logic Controller Using VHDL

Yousra A. Mohammed; Leena K. Hashim

Engineering and Technology Journal, 2007, Volume 25, Issue 9, Pages 1049-1055

Design of a Fuzzy Logic Controller (FLC) requires more design decisions than
usual, for example rule base, inference engine, defuzzifiction, and data pre- and
post processing.
This paper describes a way to implement a simple (FLC) in VHDL, there are
three parts to fuzzy controller, the fuzzification of the inputs, the defuzzification
of the outputs, and the rule base. The controller that is implemented has
demonstrated a 2-input, 1-output fuzzy controller with 5-membership functions.
This paper identifies and describes the design choices related to simple fuzzy logic
controller, based on an international standard which is underway.
In this paper, we propose a VHDL-based logic synthesis approach for designing
to reduce design time. A complete description of the controller (A fuzzier,
defuzzifier parts and a rule based are written in VHDL by using Active_HDL and
are assembled and synthesized using logic synthesis tools of ISE4.1 software. The
efficiency of the generated hardware is explored for FPGAs technology.