Novel Flux Linkage Estimation Algorithm for a Variable Flux PMSM

作者：Aljehaimi Akrem Mohamed; Pillay Pragasen^*

来源：IEEE Transactions on Industry Applications, 2018, 54(3): 2319-2335.

DOI：10.1109/TIA.2018.2794338

• Adaptive nonlinear filter (ANF)
• field-oriented control (FOC)
• magnetization state (MS)
• modified adaptive nonlinear filter (MANF)
• permanent magnet synchronous machine (PMSM)
• rotor flux linkage
• stator winding temperature (T-sw)
• variable flux interior permanent magnet synchronous machine (VF-IPMSM or VFM)

This paper presents a novel algorithm for online rotor flux linkage estimation for a variable flux interior permanentmagnet synchronous machine drive system at different flux density levels. A modified adaptive nonlinear filter is used to instantaneously estimate the amplitude, phase angle, and frequency of the major back EMF harmonic components, from which the total air-gap flux linkage is estimated. The algorithm avoids the averaging method that depends only on the fundamental back EMF component in estimating the air-gap flux linkage. The d-axis inductance versus current measurement test is performed at variable magnetization states to account for the d-axis inductance variation when estimating the rotor flux linkage. Since the stator winding resistance is temperature dependent, a thermocouple is used to obtain the actual stator winding temperature for accurate stator winding resistance measurement. The core loss resistance has been neglected for simplicity. The method was experimentally evaluated for different magnetization states and showed a good performance in tracking the rotor flux linkage variations. The method was tested for field-oriented control (FOC) schemes (i(d) = 0) and for FOC with the negative d-axis current operation as well.

• 出版日期2018-6