2021
DOI: 10.1109/jestpe.2020.3039205
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Computation-Efficient Online Optimal Tracking Method for Permanent Magnet Synchronous Machine Drives for MTPA and Flux-Weakening Operations

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Cited by 26 publications
(7 citation statements)
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“…Fundamentalfrequency-based methods, available at medium and high speed, are considered to be more sensitive to parameter mismatch due to the motor model dependence [84]. For low-speed sensorless control, signal-injection-based schemes are motor-parameter-independent, while the accurate motor parameters are still expected for robust current/torque control performance [85]. Generally, model sensitivity in position estimation is only analyzed on model-based techniques, such as EEMF-based methods [45] and stator flux-based methods [61].…”
Section: B Motor-parameter-adaptive Position Observer 1) Effects Of mentioning
confidence: 99%
“…Fundamentalfrequency-based methods, available at medium and high speed, are considered to be more sensitive to parameter mismatch due to the motor model dependence [84]. For low-speed sensorless control, signal-injection-based schemes are motor-parameter-independent, while the accurate motor parameters are still expected for robust current/torque control performance [85]. Generally, model sensitivity in position estimation is only analyzed on model-based techniques, such as EEMF-based methods [45] and stator flux-based methods [61].…”
Section: B Motor-parameter-adaptive Position Observer 1) Effects Of mentioning
confidence: 99%
“…For researchers, ensuring the steady operation of the electric motor through fault diagnosis is more complex and difficult [1]. Due to their high efficiency and excellent power density, permanent magnet synchronous motors (PMSMs) are widely employed in EVs technology [2]- [4]. Rare-earth elements are frequently used to make permanent magnets, although they have a number of disadvantages, such as being expensive and irreversibly demagnetizing at high temperatures.…”
Section: Introductionmentioning
confidence: 99%
“…Several approaches [12]- [22] have been presented to improve motor control performance under the impact of motor parameter variation, including on-line motor parameter estimation [12], [13], Look-Up Table of MTPA angle without updating the motor parameters [14], on-line MTPA curve search methods [15]- [17]. Recently, a different scheme that searches for MTPA operating points by injecting virtual signals into the motor drives to estimate the motor torque, and then extracting the MTPA angle through some filters and algorithms is presented [18], [19].…”
Section: Introductionmentioning
confidence: 99%