Iron Loss Effect Compensation in Vector Control Axial Flux Permanent Magnet Motor by EKF-Based Speed Estimation

Hall Effect sensors, Resolver sensor or other kind of sensors have conventional applications in vector control topologies of Axial Flux Permanent Magnet Motor (AFPM). In addition, sensorless systems can be used for vector control of AFPM. In this paper, Extended Kalman Filter (EKF) has been applied to AFPM position sensorless control and related algorithm was simulated. Since this observer operates based on state space variables variations, due to decrease total state variable numbers, core losses could be neglected in machine equivalent model and also in EKF algorithm. Special attention must be paid when core losses have been considered in machine model but have not been taken in to account in EKF realization, because this leads to some steady state error in control system performance. In this paper, the core losses have been considered in machine model without model order increasing. Simulation results prove the effectiveness of proposed method to reducing of speed error in EKF algorithm performance.

کلیدواژه ها:

Axial Flux Permanent Magnet ، Sensorless Vector control ، Extended Kalman Filter ، Core losses ، Iron losses