Stator flux estimation with vector transforming and signal filtering method for electrical machines. Issue 2 (1st February 2018)

• Record Type: Journal Article
• Authors: Liu, Ying; Cheng, Shanmei; Ning, Bowen; Li, Yesong
• Is Part Of: IET power electronics. Volume 11:Issue 2(2018)
• Page Start: 357
• Page End: 363
• Publication Date: 2018-02-01
• Subjects: vectors -- electric drives -- low‐pass filters -- filtering theory -- electric machines; stator flux estimation -- vector transforming method -- signal filtering method -- electrical machines -- voltage model -- low‐pass filter‐based estimators -- LPF‐based estimators -- flux vector -- motor back electromotive force -- band‐pass filter -- direct torque control‐based electrical drive system; Power electronics -- Periodicals; 621.31705
• DOI: 10.1049/iet-pel.2017.0331
• Languages: English
• ISSNs: 1755-4535

Abstract

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.