Performance Evaluation of Fuzzy-PID in Speed Control of Three Phase Induction Motor

Induction motor (IM) is one of AC motor type which mainly applied for adjustable speed applications and consumes approximately 60% of the total industrial electricity consumption. IM is chosen due to its simple structure, reliability, high efficiency, and low cost. There are two main methods in spee...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2021-03, Vol.1096 (1), p.12071
Main Authors: Maghfiroh, H, Saputro, J S, Adriyanto, F, Sujono, A, Lambang, R L
Format: Article
Language:English
Subjects:
A C motors
Electricity consumption
Energy consumption
Fuzzy control
Fuzzy logic
Induction motors
Intelligence
Load tests
Performance evaluation
Proportional integral derivative
Reliability engineering
Speed control
Structural reliability
Torque
Tracking control
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Induction motor (IM) is one of AC motor type which mainly applied for adjustable speed applications and consumes approximately 60% of the total industrial electricity consumption. IM is chosen due to its simple structure, reliability, high efficiency, and low cost. There are two main methods in speed and torque control of IM which are scalar control and vector control. Vector control is divided again as Field Oriented Control (FOC) and Direct Torque Control (DTC). In this research, DTC is chosen due to its simplicity compared with FOC. PID is reported that used by 90% industrial section because of its simplicity, applicability, and reliability. Fuzzy Logic Control (FLC) is one of the artificial intelligences that can be used to online tune the PID parameters. The simulation of speed control of the IM base on DTC has been carried out. The simulation result shows that in both no-load and loaded tests, Fuzzy-PID gives better results in speed tracking. In terms of control energy, Fuzzy-PID consumes more energy by 4.5% with better performance in the no-load test. Whereas for the loaded tests, it also has better performance with less energy by 1.03 % compared with PID.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/1096/1/012071