احسان اسرافيلي

Abstract This study designs an‎d eva‎luates a sensorless control scheme for an axial-flux permanent-magnet synchronous motor (AFPM). After reviewing the literature an‎d classifying sensorless methods into non-adaptive an‎d adaptive approaches, the core contribution implements a Model-Reference Adaptive System (MRAS) estimator to provide online rotor speed an‎d position. On a common model–estimator basis, two control strategies—Field-Oriented Control (FOC) an‎d Model Predictive Control (MPC)—are comparatively assessed. The eva‎luation criteria include speed-reference tracking, transient response, steady-state current/torque ripple, an‎d compliance with voltage/current constraints. Simulation results in MATLAB/Simulink show that both strategies, when driven by the MRAS-estimated speed an‎d angle, deliver satisfactory performance; however, MPC, by directly selec‎ting inverter voltage vectors, achieves faster transient response an‎d naturally embeds constraint han‎dling within its optimization, whereas FOC, as a conventional approach, serves as a clear baseline for benchmarking an‎d comparison. Overall, the simulations confirm the effectiveness of MRAS an‎d elucidate the relative advantages an‎d limitations of FOC an‎d MPC for sensorless control of AFPM drives.

موتور مغناطيس دائم شار محور , جهت يابي شار ميدان , كنترل پيش بين مبتني بر مدل , سيستم تطبيقي مدل مرجع , كنترل مستقيم گشتاور

َAxial Flux Permanent Magnet , Model Reference Adaptive System , Model Predictive Control , Field-Oriented Control , Direct Torque Control

Ehsan Esrafili

Hossein Esrafili