Open access Journal SINTA 1
Enhanced torque control in high-speed DTC using modified stator flux locus
International Journal of Power Electronics and Drive Systems · Vol. 16 No. 1 (2025) · pp. 457–463
- ISSN
- 2722-256X, 2088-8694
- Published
- 2025-03-01
- Publisher
- Institute of Advanced Engineering and Science
- Language
- eng
Abstract
This paper proposes a modification of stator flux locus in direct torque control (DTC) of induction machine, aiming to enhance torque capability during steady-state operation at high speeds. The modified flux locus maintains the simplicity of the original DTC structure and its advantages of rapid torque and flux dynamic control. However, DTC faces challenges in controlling motor torque at high-speed operations. This study addresses the limitation of the traditional circular flux locus, which limits the angular frequency of stator flux to increase further and hence causes control of torque deteriorates at high speeds. By modifying the stator flux locus from a circular to a hexagonal shape by adjusting flux hysteresis band, this can improve torque control during high-speed motor operation. This finding has potential applications in industrial and electric vehicle sectors that demand enhanced torque control for high-speed motor operations.
Keywords
Collaboration network of the authors
40 authors · 109 co-authorship links · 37 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universiti Teknikal Malaysia Melaka
- University of Technology Malaysia
- Universitas Ahmad Dahlan
- Universiti Sains Malaysia
- Islamic Azad University, Tehran
- Universiti Malaysia Perlis
- Diponegoro University
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Nik Rumzi Nik Idris | Affiliation unknown | 20 |
| Kasrul Abdul Karim | Affiliation unknown | 20 |
| Nik Rumzi Nik Idris | University of Technology Malaysia | 19 |
| Mohd Hatta Jopri | Universiti Teknikal Malaysia Melaka | 17 |
| Mohammad Jannati | University of Technology Malaysia | 16 |
| Awang Jusoh | University of Technology Malaysia | 15 |
| Kasrul Abdul Karim | Universiti Teknikal Malaysia Melaka | 11 |
| Mohd Junaidi Abdul Aziz | University of Technology Malaysia | 10 |
| Mustafa Manap | Universiti Teknikal Malaysia Melaka | 10 |
| Lina Handayani | Universitas Ahmad Dahlan | 8 |
| Mohamed Salem | Universiti Sains Malaysia | 8 |
| Mahmoud Zadehbagheri | Islamic Azad University, Tehran | 8 |
| Siti Azura Ahmad Tarusan | Universiti Teknikal Malaysia Melaka | 8 |
| Mochammad Facta | Diponegoro University | 7 |
| Nurfaezah Abdullah | Universiti Teknikal Malaysia Melaka | 7 |
| Muhammad Zaid Aihsan | Universiti Malaysia Perlis | 7 |
| Abdul Rahim Abdullah | Universiti Teknikal Malaysia Melaka | 6 |
| Mohammad Javad Kiani | Islamic Azad University, Tehran | 5 |
| Shahreen Kasim | Affiliation unknown | 5 |
| Watra Arsadiando | Affiliation unknown | 5 |
| Mohammad Faridun Naim Tajuddin | Universiti Malaysia Perlis | 5 |
| Mohd Junaidi Abdul Aziz | Affiliation unknown | 5 |
| Maaspaliza Azri | Affiliation unknown | 5 |
| Nor Azizah Mohd Yusoff | Universiti Sains Malaysia | 5 |
| Imam Much Ibnu Subroto | Sultan Agung Islamic University | 4 |
| M. Rahimi Yusoff | Universiti Teknikal Malaysia Melaka | 4 |
| Muhammad Ado | University of Technology Malaysia | 4 |
| Mohd Luqman Mohd Jamil | Universiti Teknikal Malaysia Melaka | 4 |
| Hendril Satrian Purnama | Affiliation unknown | 4 |
| Anggit Pamungkas | Affiliation unknown | 4 |
| Vahdat Nazerian | University of Mazandaran | 4 |
| Chibuike Peter Ohanu | University of Nigeria | 4 |
| Tri Wahono | Affiliation unknown | 4 |
| Rahim Ildarabadi | Affiliation unknown | 4 |
| Azralmukmin Azmi | Affiliation unknown | 4 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.