Performance enhancement of magnetic levitation system using teaching learning based optimization
This paper demonstrates the potency of evolution based optimization techniques in the sense of enhancing the system’s performance. Teaching Learning Based Optimization (TLBO) is a well-known evolutionary algorithm used to optimize the parameters of the PID controller so as to improve the performance...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-12-01
|
| Series: | Alexandria Engineering Journal |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016817302594 |
| _version_ | 1818622319145254912 |
|---|---|
| author | Shekhar Yadav Santosh Kumar Verma Shyam Krishna Nagar |
| author_facet | Shekhar Yadav Santosh Kumar Verma Shyam Krishna Nagar |
| author_sort | Shekhar Yadav |
| collection | DOAJ |
| description | This paper demonstrates the potency of evolution based optimization techniques in the sense of enhancing the system’s performance. Teaching Learning Based Optimization (TLBO) is a well-known evolutionary algorithm used to optimize the parameters of the PID controller so as to improve the performance of the magnetic levitation system. The TLBO search algorithm is split into two phases, the teacher phase and the learner phase. The teacher phase is comprised of having minimum performance index as compared to learner phase. The learners improve their knowledge on the basis of teacher’s performance. The parameters are tuned while minimizing the performance index of the system. The performance index incorporated in this paper is the integral time weighted square error (ITSE). The corroboration of the above technique is ended by comparing it with the conventional control techniques. Keywords: Magnetic levitation system, PID controller, Teaching learning based optimization, Performance index |
| first_indexed | 2024-12-16T18:23:16Z |
| format | Article |
| id | doaj.art-30cdd7bf7b2c464fbcf1a8492f9d9e8f |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-12-16T18:23:16Z |
| publishDate | 2018-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-30cdd7bf7b2c464fbcf1a8492f9d9e8f2022-12-21T22:21:29ZengElsevierAlexandria Engineering Journal1110-01682018-12-0157424272433Performance enhancement of magnetic levitation system using teaching learning based optimizationShekhar Yadav0Santosh Kumar Verma1Shyam Krishna Nagar2Department of Electrical Engineering, M. M. M. University of Technology, Gorakhpur 273010, U.P., India; Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, India; Corresponding author at: Department of Electrical Engineering, M. M. M. University of Technology, Gorakhpur 273010, U.P., India.Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, IndiaDepartment of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, IndiaThis paper demonstrates the potency of evolution based optimization techniques in the sense of enhancing the system’s performance. Teaching Learning Based Optimization (TLBO) is a well-known evolutionary algorithm used to optimize the parameters of the PID controller so as to improve the performance of the magnetic levitation system. The TLBO search algorithm is split into two phases, the teacher phase and the learner phase. The teacher phase is comprised of having minimum performance index as compared to learner phase. The learners improve their knowledge on the basis of teacher’s performance. The parameters are tuned while minimizing the performance index of the system. The performance index incorporated in this paper is the integral time weighted square error (ITSE). The corroboration of the above technique is ended by comparing it with the conventional control techniques. Keywords: Magnetic levitation system, PID controller, Teaching learning based optimization, Performance indexhttp://www.sciencedirect.com/science/article/pii/S1110016817302594 |
| spellingShingle | Shekhar Yadav Santosh Kumar Verma Shyam Krishna Nagar Performance enhancement of magnetic levitation system using teaching learning based optimization Alexandria Engineering Journal |
| title | Performance enhancement of magnetic levitation system using teaching learning based optimization |
| title_full | Performance enhancement of magnetic levitation system using teaching learning based optimization |
| title_fullStr | Performance enhancement of magnetic levitation system using teaching learning based optimization |
| title_full_unstemmed | Performance enhancement of magnetic levitation system using teaching learning based optimization |
| title_short | Performance enhancement of magnetic levitation system using teaching learning based optimization |
| title_sort | performance enhancement of magnetic levitation system using teaching learning based optimization |
| url | http://www.sciencedirect.com/science/article/pii/S1110016817302594 |
| work_keys_str_mv | AT shekharyadav performanceenhancementofmagneticlevitationsystemusingteachinglearningbasedoptimization AT santoshkumarverma performanceenhancementofmagneticlevitationsystemusingteachinglearningbasedoptimization AT shyamkrishnanagar performanceenhancementofmagneticlevitationsystemusingteachinglearningbasedoptimization |