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

Fadaie, Mehdi; Abbbaszadeh, Karim

doi:10.30503/eecs.2024.458334.1050

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

Document Type : Original Article

Authors

Mehdi Fadaie

Karim Abbbaszadeh

Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran

10.30503/eecs.2024.458334.1050

Abstract

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.

Keywords

Axial Flux Permanent Magnet

Sensorless Vector control

Extended Kalman Filter

Core losses

Iron losses

Subjects