Abstract

Permanent Magnet Synchronous Motors (PMSMs) are now extensively used in many critical applications. There is an increasing need for the motor and control system to have fault tolerant capabilities. This paper presents a fault tolerant control strategy to operate the PMSM during inter-turn fault conditions. The proposed technique combines the Model Predictive Control (MPC) for the speed and current control loops, and an almost error-free Unscented Kalman Filter (UKF) to estimate the PMSM inter-turn fault ratio. The PMSM state-space model for healthy and faulty conditions will be presented. Also, the equations and the remedial action of the MPC and UKF are provided in detail. The proposed algorithm is applied to PMSM model as a case study with a range of simulation analysis and discussion of results.

Highlights

  • Permanent Magnet Synchronous Motors (PMSMs) have been widely utilized in many crucial and critical applications such as propulsion for the railway, electrical trains, electrical vehicles, and recently electrical aircraft [1]–[4] as well as other safety critical application in chemical or petrochemical industries [5]

  • Artificial Intelligence (AI) techniques are being used such as knowledge-based fault diagnosis techniques for PMSM faults, for example, Neural Networks [14], fuzzy logic [15], and particle swarm optimization [16]

  • At T = 0.5 Sec, a stator inter-turn fault of 10 % is simulated in phase A of the PMSM, the load current increased to reach a peak value of 13 A

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Summary

INTRODUCTION

Permanent Magnet Synchronous Motors (PMSMs) have been widely utilized in many crucial and critical applications such as propulsion for the railway, electrical trains, electrical vehicles, and recently electrical aircraft [1]–[4] as well as other safety critical application in chemical or petrochemical industries [5]. The utilized fault diagnosis techniques for PMSM faults can be divided into three main types: signal-based, knowledge-based, and model-based. Model Predictive Control (MPC) has been successfully applied for many applications including electrical machines [24], [25] It provides a faster response than the conventional PID controller especially in the presence of the cascaded PMSM control loops at field oriented control strategy [26]. It has been used as a fault tolerant technique to provide a remedial control action under fault conditions [27].

PMSM MODEL
THE PROPOSED FAULT DIAGNOSIS ALGORITHM
THE PROPOSED FAULT TOLERANT ALGORITHM
RESULTS AND DISCUSSION
CONCLUSION
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