A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor
This paper presents a novel data-driven sigmoid-based PI for tracking of angular velocity of dc motor powered by a dc/dc buck converter. A global simultaneous perturbation stochastic approximation (GSPSA) is employed to find the optimum sigmoid-based PI parameters such that the angular velocity error...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/17632/1/iscaie2017.pdf |
| _version_ | 1825823727797927936 |
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| author | Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail |
| author2 | Ahmad, Mohd Ashraf |
| author_facet | Ahmad, Mohd Ashraf Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail |
| author_sort | Mohd Ashraf, Ahmad |
| collection | UMP |
| description | This paper presents a novel data-driven sigmoid-based PI for tracking of angular velocity of dc motor powered by a dc/dc buck converter. A global simultaneous perturbation stochastic approximation (GSPSA) is employed to find the optimum sigmoid-based PI parameters such that the angular velocity error is minimized. The merit of the proposed approach is that it can produce fast PI parameter tuning without using any plant model by measuring the I/O data of the system. Moreover, the proposed PI parameters that are varied based on sigmoid function of angular velocity error has great potential in improving the control performance compared to the conventional PI controller. A well-known buck converter powered DC motor model is considered to validate our data-driven design. In addition, the performances of the proposed method are examined in terms of angular velocity trajectory tracking and duty cycle in comparison with other existing approaches. Numerical example shows that the data-driven sigmoid-based PI approach provides
better control performances as compared to existing methods.
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| first_indexed | 2024-03-06T12:15:26Z |
| format | Conference or Workshop Item |
| id | UMPir17632 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:15:26Z |
| publishDate | 2017 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir176322018-02-02T07:44:13Z http://umpir.ump.edu.my/id/eprint/17632/ A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail TK Electrical engineering. Electronics Nuclear engineering This paper presents a novel data-driven sigmoid-based PI for tracking of angular velocity of dc motor powered by a dc/dc buck converter. A global simultaneous perturbation stochastic approximation (GSPSA) is employed to find the optimum sigmoid-based PI parameters such that the angular velocity error is minimized. The merit of the proposed approach is that it can produce fast PI parameter tuning without using any plant model by measuring the I/O data of the system. Moreover, the proposed PI parameters that are varied based on sigmoid function of angular velocity error has great potential in improving the control performance compared to the conventional PI controller. A well-known buck converter powered DC motor model is considered to validate our data-driven design. In addition, the performances of the proposed method are examined in terms of angular velocity trajectory tracking and duty cycle in comparison with other existing approaches. Numerical example shows that the data-driven sigmoid-based PI approach provides better control performances as compared to existing methods. IEEE Ahmad, Mohd Ashraf 2017-04-24 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17632/1/iscaie2017.pdf Mohd Ashraf, Ahmad and Raja Mohd Taufika, Raja Ismail (2017) A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor. In: IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE 2017) , 24-25 April 2017 , Langkawi, Malaysia. pp. 1-6.. (Published) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor |
| title | A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor |
| title_full | A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor |
| title_fullStr | A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor |
| title_full_unstemmed | A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor |
| title_short | A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor |
| title_sort | data driven sigmoid based pi controller for buck converter powered dc motor |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/17632/1/iscaie2017.pdf |
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