scholarly journals Optimal Tuning of Fuzzy Logic Controller Based Speed Control of DC Motor

2021 ◽  
Vol 19 (1) ◽  
pp. 77-80
Author(s):  
Mohsin A. Koondhar ◽  
Muhammad U. Keerio ◽  
Rameez A. Talani ◽  
Kamran A. Samo ◽  
Muhammad S. Bajwa ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Dc Motors ◽  
Manual Adjustment ◽  
Control Application ◽  
Installation Time ◽  
Transient And Steady State

Fuzzy logic controller (FLC) has become popular in the speed control application of DC motors with automatic adjustment function. In this article, the performance of a specific FLC controlled DC motor is studied. The exceed speed is observed with a stabilization time, thus confirming the FLC behavior. Therefore, FLC must be set to obtain the required performance by applying appropriate expert rules, the minimum overshoot and installation time can be maintained within the required values. With the help of FLC, the manual adjustment function is gradually eliminated, and the intelligent adjustment function is at the center position, and the performance is satisfactory. FLC DC motor speed control is implemented in MATLAB environment. The results show that the FLC method has the smallest bypass, smallest transient and steady-state error, and shows higher FLC efficiency as compared with other conventional controllers.

scholarly journals PERFORMANCE IMPROVEMENTS OF SEPARATELY EXCITED DC MOTOR USING FUZZY LOGIC CONTROL

2020 ◽  
Vol 6 (2) ◽  
pp. 47-58
Author(s):  
R. Nagarajan ◽  
M. Gokulkannan ◽  
T. Dinesh ◽  
S. Murugesan ◽  
M. Naveenprasanth
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Expert Knowledge ◽  
Speed Control ◽  
Dc Motor ◽  
Fuzzy Rules ◽  
Motor Speed ◽  
Performance Improvements ◽  
Speed Performance

This paper demonstrates the importance of a fuzzy logic controller over conventional method. The performance of the separately excited DC motor is analyzed by using fuzzy logic controller (FLC) in MATLAB/SIMULINK environment. The FLC speed controller is designed based on the expert knowledge of the fuzzy rules system. The proposed DC motor speed control fuzzy rules are designed for fuzzy logic controller. The output response of the system is obtained by using fuzzy logic controller. The designed fuzzy controller for speed control performance is investigated. Significantly reducing the overshoot and shortening the settling time of the speed response of the motor. They validate different control of approaches, the simulation results show improvement in motor efficiency and speed performance.

scholarly journals Design and Implementation of Fuzzy Logic system for DC motor Speed Control

2010 ◽  
Vol 6 (2) ◽  
pp. 123-130
Author(s):  
Maan Shaker ◽  
Yaareb Al-khashab
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Fuzzy Logic Controller ◽  
Control Process ◽  
Speed Control ◽  
Electronic System ◽  
Dc Motor ◽  
Control Panel ◽  
Main Task ◽  
Motor Speed

In this paper an integrated electronic system has been designed, constructed and tested. The system utilizes an interface card through the parallel port in addition to some auxiliary circuits to perform fuzzy control operations for DC motor speed control with load and no load. Software is written using (C++ language Ver. 3.1) to display the image as control panel for different types of both conventional and fuzzy control. The main task of the software is to simulate: first, how to find out the correct parameters for fuzzy logic controller (membership’s function, rules and scaling factor). Second, how to evaluate the gain factors (KP, KI and KD) by Ziegler-Nichols method. When executing any type of control process the efficiency is estimated by drawing the relative speed response for this control.

Comparative Study of DC Motor Speed Control Using Neural Networks and Fuzzy Logic Controller

2015 ◽  
Author(s):  
Wafa Batayneh ◽  
Nash’at Nawafleh
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
The Neural Network ◽  
Intelligent Controllers ◽  
Rising Time

This paper demonstrates the importance of the intelligent controllers over the conventional methods. A speed control of the DC motor is developed using both Neural Networks and Fuzzy logic controller in MATLAB environment as intelligent controllers. In addition a conventional PID controller is developed for comparison purposes. Both intelligent controllers are designed based on the simulation results of the nonlinear equations in addition to the expert pre knowledge of the system. The output response of the system is obtained using the two types of the intelligent controllers, in addition to the conventional PID controller. The performance of the designed Neural Networks, Fuzzy logic controller and the PID controller is compared and investigated. Finally, the results show that the neural network has minimum overshoot, and minimum steady state parameters. This shows more efficiency of the intelligent controllers over the conventional PID controller. Also it shows that Neural Networks is better than Fuzzy logic controller in terms of over shoot and rising time. At the end of this paper an implementation of Graphical User Interface (GUI) method is developed. The main purpose of the GUI is to give the users a chance to use the program in a simple way without the need to understand the program languages.

scholarly journals DC motor speed control using fuzzy logic controller

2018 ◽  
Author(s):  
N. L. Ismail ◽  
K. A. Zakaria ◽  
N. S. Moh Nazar ◽  
M. Syaripuddin ◽  
A. S. N. Mokhtar ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed

scholarly journals Performance Comparison of PI Control and Fuzzy Logic for Speed Control of DC Shunt Motor Using Matlab / Simulink

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Jehan Aliyya
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Industrial Process ◽  
Speed Control ◽  
Dc Motor ◽  
Pi Controller ◽  
Performance Comparison ◽  
Motor Speed ◽  
Matlab Simulink ◽  
Speed Regulation

DC motor speed regulation is an important role in the industrial process so it can run easily and efficiently. A good DC motor speed control system must have a fast and accurate response. However, it is rare to find a DC motor that has controlled to get a constant speed. This research presents an analytical comparison of PI controller and Fuzzy Logic Controller for Speed Control of DC Shunt Motor. The disadvantages of PI controller like it do not operate properly when the system has a high degree of load disturbances [1]. FLC is a good for load disturbances and can be easily implemented. The simulation of both speed controller have been made by Matlab Simulink software.

scholarly journals Efficiency of particle swarm optimization applied on fuzzy logic DC motor speed control

2008 ◽  
Vol 5 (2) ◽  
pp. 247-262 ◽  
Author(s):  
Boumediene Allaoua ◽  
Abderrahmani Abdessalam ◽  
Gasbaoui Brahim ◽  
Nasri Abdelfatah
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Swarm Optimization
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