Abstract

Assessing the flux linkage is an important feature for electric machines, including switched reluctance machines. However, sensor calibration errors and noise impose a problem known as drift, which is caused by the integration process used to estimate the flux linkage. This paper proposes a flux linkage estimation with a drift cancellation technique. The technique accounts for the switched reluctance machine’s working and driving principles. Simulation and experimental results are used to validate the proposed method. Additionally, a goodness-of-fit analysis is performed to support the outcomes. A R 2 factor of 0.9823 is found between the experimentally and simulation-estimated flux linkage. The results indicate that the method works properly and may be further used in control techniques and iron losses estimation.

Highlights

  • In the past years, switched reluctance machines (SRMs) have increasingly drawn attention for various applications, especially those that require wide speed range operation, such as wind power systems [1] and electric vehicles [2]

  • Knowing the stator flux linkage in SRMs is important for many tasks, such as in instantaneous torque control methods based on flux vector orientation [3] and in the assessment of iron losses in SRMs as in [4]

  • This paper presented a new flux linkage calculation with a drift cancellation method for switched reluctance machines based on the machine’s working principles and characteristics

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Summary

Introduction

In the past years, switched reluctance machines (SRMs) have increasingly drawn attention for various applications, especially those that require wide speed range operation, such as wind power systems [1] and electric vehicles [2]. SRMs present some disadvantages inherent to their structure and drive principle, such as acoustic noise, high torque ripple, and elevated losses compared to other machines of the same segment. Considering the lack of detailed information in the literature regarding flux linkage estimation with drift cancellation for SRMs, this paper presents a new drift cancellation method that considers the driving and working principles of SRMs. The proposed method is inspired by those of the studied literature. In [22] the authors propose a flux weakening control technique for synchronous reluctance motors using a flux saturation model for different operation points calculated offline, in which the control method could be enhanced by a high-performance online flux linkage estimation method such as the one proposed in this paper.

Switched Reluctance Machine Modeling and Principles
Integration Drift
Resettable Integrator
Low-Pass Filters
Proposed Drift Cancellation Method
Implementation Algorithm
Experimental Evaluation of the Proposed Algorithm
Findings
Conclusions
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