학술논문

Online Multi-Parameter Observation of IPM Machine With Reconstructed Nonlinear Small-Signal Model Based on Dual EKF
Document Type
Periodical
Source
IEEE Transactions on Industrial Electronics IEEE Trans. Ind. Electron. Industrial Electronics, IEEE Transactions on. 71(2):1234-1245 Feb, 2024
Subject
Power, Energy and Industry Applications
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Mathematical models
Inductance
Observability
Observers
Couplings
Resistance
Analytical models
Cross-coupling saturation
dual-extended-Kalman-filter (DEKF) based observer
interior permanent magnet (IPM) machines
reconstructed nonlinear small-signal model
Language
ISSN
0278-0046
1557-9948
Abstract
Flux nonlinearity due to cross-coupling saturation is critical for interior permanent magnet (IPM) machine control. To obtain accurate parameters in real-time, this article proposes a novel reconstructed nonlinear small-signal model which simplifies the observability analysis and design of the observer. Compared with traditional methods, the observability of the reconstructed small-signal model shows that all resistance and inductance parameters are observable under entire operation region. The flux cross-coupling saturation is also well considered. A dual-extended-Kalman-filter based observer for the reconstructed model is introduced to achieve fast parameters convergence. The effectiveness of the proposed observer is experimentally evaluated with a 60 kW IPM machine and verified by finite-element analysis.