Stator flux estimation with vector transforming and signal filtering method for electrical machines
Abstract: Stator flux estimation for electrical machine using voltage model (VM) with a simple structure and the least parameters has been widely researched in high-performance drive systems. Existing low-pass filter (LPF)-based estimators either respond slowly or cannot adequately suppress DC drifts, thus, a vector transforming and signal filtering method using VM is proposed for flux estimation. An original flux vector is directly produced through a transformation for motor back electromotive force, and then, the desired flux is obtained through an optimised filter which is designed by combing LPF and band-pass filter with an optimal function. The proposed estimator can both eliminate DC drifts and obtain a fast response and high accuracy, and additionally, its structure is simplified by the decomposing process, which significantly reduces the computation and occupied resources. The effects of cut-off frequencies on dynamical responses and flux harmonics are investigated and the limitations are obtained. This estimator is applicable to extensive strategies, for instance, the implementation of a direct torque control-based electrical drive system is carried out. Theoretical analysis, simulation, and experiment are conducted to validate the feasibility and effectiveness of the proposed scheme.
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