Investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms
Many issues can degrade the electrical drive performance such as cross-coupling, time delay, external disturbances, and parameter variation. The Synchronous Reference Frame (SRF) PI Current Controller (CC) is the most popular control scheme for the motor drive current control due to its simplicity....
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/65403/ |
| _version_ | 1848800222735499264 |
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| author | Aboelhassan, Ahmed Diab, Ahmed M. Galea, Michael Bozhko, Serhiy |
| author_facet | Aboelhassan, Ahmed Diab, Ahmed M. Galea, Michael Bozhko, Serhiy |
| author_sort | Aboelhassan, Ahmed |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Many issues can degrade the electrical drive performance such as cross-coupling, time delay, external disturbances, and parameter variation. The Synchronous Reference Frame (SRF) PI Current Controller (CC) is the most popular control scheme for the motor drive current control due to its simplicity. However, the PI controller does not have an optimal dynamic response due to the reasonably low transient response of the integral parts. Furthermore, the tuning of the PI controller depends heavily on the machine’s parameters. Recently, alternative control schemes such as Model Predictive Control (MPC) and Active Disturbance Rejection Control (ADRC) are studied due to their dynamic performance and disturbance rejection capability, respectively. This paper presents a comparative study between the conventional PI, ADRC, and MPC control schemes applied for Permanent Magnet Synchronous Motor (PMSM) taking into consideration the operational issues of electrical drives. |
| first_indexed | 2025-11-14T20:48:08Z |
| format | Conference or Workshop Item |
| id | nottingham-65403 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:48:08Z |
| publishDate | 2020 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-654032021-06-04T07:51:03Z https://eprints.nottingham.ac.uk/65403/ Investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms Aboelhassan, Ahmed Diab, Ahmed M. Galea, Michael Bozhko, Serhiy Many issues can degrade the electrical drive performance such as cross-coupling, time delay, external disturbances, and parameter variation. The Synchronous Reference Frame (SRF) PI Current Controller (CC) is the most popular control scheme for the motor drive current control due to its simplicity. However, the PI controller does not have an optimal dynamic response due to the reasonably low transient response of the integral parts. Furthermore, the tuning of the PI controller depends heavily on the machine’s parameters. Recently, alternative control schemes such as Model Predictive Control (MPC) and Active Disturbance Rejection Control (ADRC) are studied due to their dynamic performance and disturbance rejection capability, respectively. This paper presents a comparative study between the conventional PI, ADRC, and MPC control schemes applied for Permanent Magnet Synchronous Motor (PMSM) taking into consideration the operational issues of electrical drives. 2020-11-24 Conference or Workshop Item PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/65403/1/Combine.pdf Aboelhassan, Ahmed, Diab, Ahmed M., Galea, Michael and Bozhko, Serhiy (2020) Investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms. In: 23rd International Conference on Electrical Machines and Systems, 24 November 2020 - 27 November 2020. Active Disturbance Rejection Control； Current Control； Electrical Motor Drive； Model Predictive Control. http://dx.doi.org/10.23919/ICEMS50442.2020.9291218 10.23919/ICEMS50442.2020.9291218 10.23919/ICEMS50442.2020.9291218 10.23919/ICEMS50442.2020.9291218 |
| spellingShingle | Active Disturbance Rejection Control； Current Control； Electrical Motor Drive； Model Predictive Control. Aboelhassan, Ahmed Diab, Ahmed M. Galea, Michael Bozhko, Serhiy Investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms |
| title | Investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms |
| title_full | Investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms |
| title_fullStr | Investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms |
| title_full_unstemmed | Investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms |
| title_short | Investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms |
| title_sort | investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms |
| topic | Active Disturbance Rejection Control； Current Control； Electrical Motor Drive； Model Predictive Control. |
| url | https://eprints.nottingham.ac.uk/65403/ https://eprints.nottingham.ac.uk/65403/ https://eprints.nottingham.ac.uk/65403/ |