Performance evaluation of conventional and fuzzy control systems for speed control of a DC motor using positive output Luo converter

2019 ◽  
Vol 7 (1) ◽  
pp. 4
Author(s):  
Abdelghani El Ougli ◽  
Belkassem Tidhaf ◽  
Mohamed Boutouba
Keyword(s):  
Performance Evaluation ◽  
Fuzzy Control ◽  
Control Systems ◽  
Speed Control ◽  
Dc Motor

Design on Fuzzy Controller of DC Motors Speed Control Based on DSP

2013 ◽  
Vol 722 ◽  
pp. 357-360
Author(s):  
Peng Jie Zhang ◽  
Ji Hong Guo ◽  
Hong Jing Ma ◽  
Hong Ming Ma
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Design Procedure ◽  
Speed Control ◽  
Fast Response ◽  
Dc Motor ◽  
Motor Speed ◽  
Control Effect ◽  
Dc Motor Control ◽  
Fuzzy Control Strategy

Aiming at the problems of nonlinearity, time-variant parameters, and uncertainty of system mathematical model in the PID regulator of DC motor control, a fuzzy controller of DC motor speed control based on TMS320LF2407A is designed in this paper, using the fuzzy control strategy to control, and its design procedure is described. The experimental results show that the speed control system of DC motor by using DSP controller and fuzzy control algorithms has a fast response, slight overshot and good stability, and improves the control effect.

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.

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