Induction motor controller using fuzzy logic
Induction Motor is widely used in general industry applications focusing on production area. Induction motor speed control is becoming very important due to increase the profit to the industries with increase efficiency, reliability and performance of induction motor. Due to the problem facing...
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| Format: | Thesis |
| Language: | English English English |
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2013
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| Online Access: | http://eprints.uthm.edu.my/2005/1/24p%20NOR%20AIZILA%20GOREP.pdf http://eprints.uthm.edu.my/2005/2/NOR%20AIZILA%20GOREP%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2005/3/NOR%20AIZILA%20GOREP%20WATERMARK.pdf |
| _version_ | 1825709643205181440 |
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| author | Gorep, Nor Aizila |
| author_facet | Gorep, Nor Aizila |
| author_sort | Gorep, Nor Aizila |
| collection | UTHM |
| description | Induction Motor is widely used in general industry applications focusing on
production area. Induction motor speed control is becoming very important due to
increase the profit to the industries with increase efficiency, reliability and
performance of induction motor. Due to the problem facing in induction motor that
require complex mathematical model and varying parameters, Fuzzy Logic
Controller (FLC) is applied to overcome this problem. The FLC based on the
concepts of an artificial intelligence and attractive alternatives method to tackle the
problem of controller design for complex mathematical model of system. This
project used FLC Sugeno types. The purpose used FLC is to control speed and
increase the efficiency of IM. While, the conventional controller only works well for
linear system and their performances will decrease for nonlinear system. To make an
induction motor operates such as Direct Current (DC) motor, Field Oriented Control
(FOC) drives is applied for Induction Motor drive. FOC also offering a fast dynamic
response and a high precision ability for IM drive. This project is implemented using
Simulink Matlab. Based on the test results show the response of the speed curve
takes less time to settle and reach the desired value. |
| first_indexed | 2024-03-05T21:41:42Z |
| format | Thesis |
| id | uthm.eprints-2005 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English English English |
| last_indexed | 2024-03-05T21:41:42Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | uthm.eprints-20052021-10-31T00:45:48Z http://eprints.uthm.edu.my/2005/ Induction motor controller using fuzzy logic Gorep, Nor Aizila TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Induction Motor is widely used in general industry applications focusing on production area. Induction motor speed control is becoming very important due to increase the profit to the industries with increase efficiency, reliability and performance of induction motor. Due to the problem facing in induction motor that require complex mathematical model and varying parameters, Fuzzy Logic Controller (FLC) is applied to overcome this problem. The FLC based on the concepts of an artificial intelligence and attractive alternatives method to tackle the problem of controller design for complex mathematical model of system. This project used FLC Sugeno types. The purpose used FLC is to control speed and increase the efficiency of IM. While, the conventional controller only works well for linear system and their performances will decrease for nonlinear system. To make an induction motor operates such as Direct Current (DC) motor, Field Oriented Control (FOC) drives is applied for Induction Motor drive. FOC also offering a fast dynamic response and a high precision ability for IM drive. This project is implemented using Simulink Matlab. Based on the test results show the response of the speed curve takes less time to settle and reach the desired value. 2013-01 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/2005/1/24p%20NOR%20AIZILA%20GOREP.pdf text en http://eprints.uthm.edu.my/2005/2/NOR%20AIZILA%20GOREP%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/2005/3/NOR%20AIZILA%20GOREP%20WATERMARK.pdf Gorep, Nor Aizila (2013) Induction motor controller using fuzzy logic. Masters thesis, Universiti Tun Hussein Onn Malaysia. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Gorep, Nor Aizila Induction motor controller using fuzzy logic |
| title | Induction motor controller using fuzzy logic |
| title_full | Induction motor controller using fuzzy logic |
| title_fullStr | Induction motor controller using fuzzy logic |
| title_full_unstemmed | Induction motor controller using fuzzy logic |
| title_short | Induction motor controller using fuzzy logic |
| title_sort | induction motor controller using fuzzy logic |
| topic | TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers |
| url | http://eprints.uthm.edu.my/2005/1/24p%20NOR%20AIZILA%20GOREP.pdf http://eprints.uthm.edu.my/2005/2/NOR%20AIZILA%20GOREP%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2005/3/NOR%20AIZILA%20GOREP%20WATERMARK.pdf |
| work_keys_str_mv | AT gorepnoraizila inductionmotorcontrollerusingfuzzylogic |