كنترل برداري موتور مغناطيس دائم شار محوري با استفاده از كنترل مد لغزشي در حضور اغتشاش

Axial flux permanent magnet motors have recently emerged as one of the key can‎didates in advanced industries such as electric vehicles, robotics, aerospace systems, an‎d renewable energy, owing to their high power density, high efficiency, an‎d compact structure. Despite these advantages, achieving accurate an‎d robust control of such motors under disturbances, parameter variations, an‎d varying operating conditions remains a significant challenge in electric drive systems. Conventional control methods, such as PID an‎d other linear controllers, often show limited performance an‎d fail to deliver the required dynamic response under these conditions. To address these limitations, this thesis proposes a robust vector control framework based on terminal sliding mode control (TSMC) for AFPM motors. The proposed scheme integrates an outer speed control loop with inner current control loops along the d–q axes. By employing nonlinear sliding surfaces an‎d terminal reaching laws, finite-time convergence of the state variables an‎d system stability are ensured. In addition, a maximum torque per ampere (MTPA) strategy is incorporated to enhance efficiency an‎d reduce losses, while maintaining proper coordination between the speed an‎d current control loops. The dynamic model of the AFPM motor an‎d the proposed control algorithms were developed an‎d implemented in MATLAB/Simulink. The system performance was eva‎luated under different operating scenarios, including both disturbance-free an‎d disturbed conditions. Simulation results demonstrate that the proposed approach achieves accurate tracking of speed an‎d current references, eliminates steady-state error, an‎d maintains system stability against load variations an‎d operating uncertainties. Furthermore, compared to conventional control methods, the proposed controller significantly reduces chattering effects an‎d provides a faster dynamic response. Finally, conclusions are drawn from the findings, an‎d directions for future research an‎d potential industrial implementation are discussed.

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