PID and Fuzzy Logic Controllers for DC Motor Speed Control

2019 ◽  
pp. 155-168
Author(s):  
Eduardo Flores-Morán ◽  
Wendy Yánez-Pazmiño ◽  
Luis Espin-Pazmiño ◽  
María Molina-Miranda ◽  
Carlos Guzmán-Real
Keyword(s):  
Fuzzy Logic ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Fuzzy Logic Controllers ◽  
Logic Controllers

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

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.

Modeling and Simulation of Parameter Self-Tuning Fuzzy PID Controller for DC Motor Speed Control System

2012 ◽  
Vol 195-196 ◽  
pp. 1003-1007 ◽  
Author(s):  
Chi Xue ◽  
Hui Zhu ◽  
Biao Yu
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Pid Control ◽  
System Analysis ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Fuzzy Pid Controller ◽  
Speed Control System ◽  
Self Tuning

The establishment of DC motor system model is an important part of its control system analysis, this paper introduces the traditional method of modeling and the application of parameter self-tuning fuzzy logic PID control in the simulation and experimental research of variable speed control system for DC electric motor. In MATLAB / SMULINK simulation environment, high robustness and precision are obtained. The simulation results show that fuzzy logic PID control strategy has better performances than traditional controllers.

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