TY  - JOUR
T1  - Optimized Control of Servo Motor Speed Applying Type-2 Fuzzy
AU - Tajadini, Mohahammad Javad AU - Mohammadi, Majid 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 2
SP  - 240
EP  - 251
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.240.251
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.240.251
KW  - Fuzzy control
KW  -evolutionary algorithm (PSO)
KW  -servo motors
KW  -fuzzy control type-2
KW  -controller
AB  - Because of the widespread use of motors, controlling their speed and position control are important.
Different types of controllers for electric motors can confirm this statement. Many methods such as PID
controllers and intelligent controllers have been proposed for motor control. This study aims to provide a new
method for intelligent motor control using fuzzy controller type-2. After measuring motor parameters, a fuzzy
controller with two inputs controls error and changes to minimize the errors in the shortest time possible.
However, the extraction of rules and membership functions which is often based on trial and error,
time-consuming and needs a specialist is a common problem. Evolutionary algorithms are a kind of search
algorithm based on natural selection mechanism and a valid method for efficient and effective solution search
process. In this method, Particle Swarm Algorithm (PSO) is used to determine type-2 fuzzy membership
functions. The proposed method is simulated using data from a motor with MATLAB and in SIMULINK
environment.
ER  -