2020
DOI: 10.1109/access.2020.3008158
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Ultra-Local Model-Free Predictive Current Control Based on Nonlinear Disturbance Compensation for Permanent Magnet Synchronous Motor

Abstract: During motor operation, the motor parameters change, which causes parameter drift. They are also affected by internal and external unknown disturbances, which lead to reduced motor control performance, poor anti-interference performance, and low robustness. A method termed ultra-local modelfree predictive current control (MFPCC) has previously been proposed to solve this problem; it uses only the input and output of the system and does not involve any motor parameters, because of which it is free of problems c… Show more

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Cited by 43 publications
(21 citation statements)
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“…For the first-order input-output system, the conventional ultra-local model is expressed using the following equations [24]:…”
Section: Ultra-local Model-free Modelmentioning
confidence: 99%
“…For the first-order input-output system, the conventional ultra-local model is expressed using the following equations [24]:…”
Section: Ultra-local Model-free Modelmentioning
confidence: 99%
“…According to the previous research of the research group [30], the field of motor control in MEMLS has been studied, aiming to strengthen the robustness of control and shorten the acceleration time during the launch process. This is consistent with the results of this paper, which proves the reliability of the results and the contribution of research.…”
Section: E Effectiveness Evaluation and Analysis Of Variancementioning
confidence: 99%
“…In order to design the best pulse energy storage power supply, literature [6] studied the evaluation system of the discharge effect of pulse power discharge supply. e authors have also conducted optimization research on the motor control of the electromagnetic launch system [7], but the existing research focuses most of the energy on the technical research of the details, rather than the optimization of the entire system. erefore, it is necessary to evaluate the effectiveness of MEMLS to determine the most important part of the system design and provide a theoretical basis for the design of MEMLS to maximize the benefits.…”
Section: Research Novelty and Contributionmentioning
confidence: 99%