Investigating electrical drive performance employing model predictive control and active disturbance rejection control algorithms

Aboelhassan, Ahmed and Diab, Ahmed M. and 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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: This is under GUPL
Keywords: Active Disturbance Rejection Control; Current Control; Electrical Motor Drive; Model Predictive Control.
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Aerospace
Identification Number: https://doi.org/10.23919/ICEMS50442.2020.9291218
Depositing User: QIU, Lulu
Date Deposited: 04 Jun 2021 07:51
Last Modified: 04 Jun 2021 07:51
URI: http://eprints.nottingham.ac.uk/id/eprint/65403

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