Static-Errorless Rotor Position Estimation Method Based on Linear Extended State Observer for IPMSM Sensorless Drives
Author(s) -
Feng Jiang,
Fan Yang,
Songjun Sun,
Kai Yang
Publication year - 2022
Publication title -
energies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.598
H-Index - 93
ISSN - 1996-1073
DOI - 10.3390/en15051943
Subject(s) - control theory (sociology) , estimator , robustness (evolution) , position (finance) , rotor (electric) , state observer , computer science , feed forward , position sensor , mathematics , engineering , control engineering , physics , nonlinear system , artificial intelligence , mechanical engineering , biochemistry , statistics , chemistry , control (management) , finance , quantum mechanics , economics , gene
This article presents a static-errorless rotor position estimation method based on the linear extended state observer (LESO) for interior permanent magnet synchronous motor (IPMSM) drives. Two second-order LESOs are utilized to estimate the α-β axis back-EMFs. A third-order LESO is incorporated into the quadrature phase-locked loop (QPLL) to achieve a high robustness of position tracking against external disturbance. In addition, considering that the nonideal back-EMF will bring DC and harmonic fluctuation errors to the estimated position, an enhanced LESO-based QPLL with static-errorless rotor position estimation is proposed. On the one hand, the DC position esti mation error caused by the phase lag of the back-EMF estimator is analyzed and compensated. On the other hand, to suppress the position harmonic fluctuations induced from the nonsinusoidal back-EMFs, a second-order generalize integrator (SOGI) is embedded in the feedforward path of the LESO-based QPLL. The experimental results on the 1.0 kW IPMSM drive platform show that, compared to the conventional method, the proposed method can achieve better position estimation performance both in steady-state operation and in transient-state operation.
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