A Concise Evaluation of Auto-tuned PID and Fuzzy Logic Controllers for Speed Control of a DC-Motor

2022 ◽  
pp. 256-268
Author(s):  
Tefera T. Yetayew ◽  
Tamiru G. G/Meskel ◽  
Dawit M. G/michael
Keyword(s):  
Fuzzy Logic ◽  
Speed Control ◽  
Dc Motor ◽  
Fuzzy Logic Controllers ◽  
Logic Controllers

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 Closed Loop V/f Speed Control of Multilevel Inverter Fed Induction Motors Using PID and Fuzzy Logic Controllers

2021 ◽  
Vol 20 ◽  
pp. 12-23
Author(s):  
Aravinda Shilpa Konathala ◽  
Mamillapalli Rose Mary ◽  
Bade Mounica ◽  
Gudla Meghana ◽  
Jyothula Renuka Devi
Keyword(s):  
Fuzzy Logic ◽  
Induction Motors ◽  
Control Method ◽  
Supply Voltage ◽  
Harmonic Distortion ◽  
Speed Control ◽  
Pid Controllers ◽  
Fuzzy Logic Controllers ◽  
Multilevel Inverters ◽  
Logic Controllers

The Volts per Hertz (V/f) speed control method makes induction motors available to be used in variable speed applications. However, the great harmonic distortion in supply voltage is a major issue of this method. Therefore, this study focuses on decreasing the harmonic distortion in the supply to induction motors. For that, the use of thirty-one-level multilevel inverters (MLIs) is investigated. Another drawback of the V/f speed control method is the use of proportional-integral-derivative (PID) controllers as speed controllers, which are difficult to be tuned precisely. To overcome this, the use of fuzzy logic controllers is investigated. The whole model is developed and simulated in MATLAB/SIMULINK by varying two variables, i.e., reference speed and load torque, one at a time using each controller. The observations for the changes in speed, torque, stator current, and supply voltage to the induction motors are made. The system’s performance using fuzzy logic controllers is found superior.

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