Design and Implementation of Hybrid Fuzzy Control of a Magnetic Levitation System
In this research paper scientific model of the levitation system based on the magnetic field has been implemented with the help of the fuzzy-logic controller. The behaviour of alluring (maglev) mainly based on the PID-controller being used. Therefore, a controller based on PID has been organized to...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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The University of Lahore
2020-09-01
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| Series: | Pakistan Journal of Engineering & Technology |
| Subjects: | |
| Online Access: | https://www.hpej.net/journals/pakjet/article/view/427 |
| _version_ | 1818570267557888000 |
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| author | Nasir Sattar M. Kamran Liaquat Bhatti Tahir Mahmood Waqar Tahir Muhammad Kashif Muhammad Yasin Mohsin |
| author_facet | Nasir Sattar M. Kamran Liaquat Bhatti Tahir Mahmood Waqar Tahir Muhammad Kashif Muhammad Yasin Mohsin |
| author_sort | Nasir Sattar |
| collection | DOAJ |
| description | In this research paper scientific model of the levitation system based on the magnetic field has been implemented with the help of the fuzzy-logic controller. The behaviour of alluring (maglev) mainly based on the PID-controller being used. Therefore, a controller based on PID has been organized to control efficiently and get the desired performance of the maglev system under study. But, as evident from the literature review, a PID controller has its limitations and is typically undefined in the situation of changing the load because PID controllers have fixed constraints. Due to these limitations, a controller that is based on fuzzy logic has been designed to overcome these problems. By using the fuzzy logic, again has been selected for the PID-controller by using the different values of load and set the reference value to calculate the gain error. Best suited membership functions have been used to fuzzifier the gain parameters. An optimal inference engine has been designed to map inputs to the corresponding outputs. Finally, a de-fuzzifier has been designed to get crisp values which reflect the gain constraints of the designed PID Regulator. This fuzzy controller supervises the conventional PID controller to automatically adjust its parameters to control the maglev system even with varying load and varying air gap changes. |
| first_indexed | 2024-12-14T06:58:25Z |
| format | Article |
| id | doaj.art-b87e3d8324c745ab9e97ae95896026a7 |
| institution | Directory Open Access Journal |
| issn | 2664-2042 2664-2050 |
| language | English |
| last_indexed | 2024-12-14T06:58:25Z |
| publishDate | 2020-09-01 |
| publisher | The University of Lahore |
| record_format | Article |
| series | Pakistan Journal of Engineering & Technology |
| spelling | doaj.art-b87e3d8324c745ab9e97ae95896026a72022-12-21T23:12:34ZengThe University of LahorePakistan Journal of Engineering & Technology2664-20422664-20502020-09-013210.51846/vol3iss2pp100-105Design and Implementation of Hybrid Fuzzy Control of a Magnetic Levitation SystemNasir Sattar0M. Kamran Liaquat Bhatti1Tahir Mahmood2Waqar Tahir3Muhammad Kashif4Muhammad Yasin Mohsin5NFC, IET, MultanNFC, IET, MultanNFC, IET, MultanNFC, IET, MultanCOMSATS University Islamabad, Sub Campus SahiwalNFC, IET, MultanIn this research paper scientific model of the levitation system based on the magnetic field has been implemented with the help of the fuzzy-logic controller. The behaviour of alluring (maglev) mainly based on the PID-controller being used. Therefore, a controller based on PID has been organized to control efficiently and get the desired performance of the maglev system under study. But, as evident from the literature review, a PID controller has its limitations and is typically undefined in the situation of changing the load because PID controllers have fixed constraints. Due to these limitations, a controller that is based on fuzzy logic has been designed to overcome these problems. By using the fuzzy logic, again has been selected for the PID-controller by using the different values of load and set the reference value to calculate the gain error. Best suited membership functions have been used to fuzzifier the gain parameters. An optimal inference engine has been designed to map inputs to the corresponding outputs. Finally, a de-fuzzifier has been designed to get crisp values which reflect the gain constraints of the designed PID Regulator. This fuzzy controller supervises the conventional PID controller to automatically adjust its parameters to control the maglev system even with varying load and varying air gap changes.https://www.hpej.net/journals/pakjet/article/view/427MaglevFuzzy ControllerEfficiency |
| spellingShingle | Nasir Sattar M. Kamran Liaquat Bhatti Tahir Mahmood Waqar Tahir Muhammad Kashif Muhammad Yasin Mohsin Design and Implementation of Hybrid Fuzzy Control of a Magnetic Levitation System Pakistan Journal of Engineering & Technology Maglev Fuzzy Controller Efficiency |
| title | Design and Implementation of Hybrid Fuzzy Control of a Magnetic Levitation System |
| title_full | Design and Implementation of Hybrid Fuzzy Control of a Magnetic Levitation System |
| title_fullStr | Design and Implementation of Hybrid Fuzzy Control of a Magnetic Levitation System |
| title_full_unstemmed | Design and Implementation of Hybrid Fuzzy Control of a Magnetic Levitation System |
| title_short | Design and Implementation of Hybrid Fuzzy Control of a Magnetic Levitation System |
| title_sort | design and implementation of hybrid fuzzy control of a magnetic levitation system |
| topic | Maglev Fuzzy Controller Efficiency |
| url | https://www.hpej.net/journals/pakjet/article/view/427 |
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