Publication | Open Access
ADRC-Based Robust and Resilient Control of a 5-Phase PMSM Driven Electric Vehicle
40
Citations
35
References
2020
Year
Electrical EngineeringIndustrial ElectronicsEngineeringElectric MachineMotor DriveParametric VariationRobust ControlMechatronicsMechanical SystemsElectrical DriveAdrc-based RobustSystems EngineeringVehicle ControlLinear AdrcFault-tolerant ControlResilient ControlStability
The selection of electric machines for EVs prioritizes reliability, efficiency, and robustness, making the 5‑phase PMSM a leading candidate, yet its control performance is severely impacted by internal parametric variations and model uncertainties as well as external sensor faults and unexpected speed or torque changes. The study investigates ADRC and LADRC to ensure stability against these internal and external disturbances in a 5‑phase PMSM EV drive. The authors compared the ADRC-based strategies with a conventional controller, assessing performance under parametric variations, unmodeled disturbances, and speed‑sensor faults. The results demonstrate that the ADRC-based strategies achieve superior control performance and robustness.
The selection of electric machines for an Electric Vehicle (EV) is mainly based on reliability, efficiency, and robustness, which makes the 5-phase Permanent Magnet Synchronous Motor (PMSM) among the best candidates. However, control performance of any motor drive can be deeply affected by both: (1) internal disturbances caused by parametric variations and model uncertainties and (2) external disturbances related to sensor faults or unexpected speed or torque variation. To ensure stability under those conditions, an Active Disturbance Rejection Controller (ADRC) based on an online dynamic compensation of estimated internal and external disturbances, and a Linear ADRC (LADRC) are investigated in this paper. The control performance was compared with traditional controller and evaluated by considering parametric variation, unmodeled disturbances, and speed sensor fault. The achieved results clearly highlight the effectiveness and high control performance of the proposed ADRC-based strategies.
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