Modulated Model-free Predictive Control of PMSM Drive System

Wang, Yuchen; Li, Hongmei; Mao, Jingkui; Huang, Jiandong; Liu, Liwen

doi:10.1109/icems.2019.8921575

Cited by 1 publication

(2 citation statements)

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“…The principle of ultra-local model control is local modeling, which is updated in real time from both the input knowledge and output performance [21][22][23] . Generally, a linear or nonlinear system can be represented as an unknown differential equation given by…”

Section: Use Construction Of the Ultra-local Modelmentioning

confidence: 99%

“…[17] discussed a MFC as a sensorless control method applied to a PMSM to ensure robustness under ideal and parametric error conditions. In the control system of a surface-mounted PMSM, model-free control based on an ultra-local model can be used to control the system [18][19][20][21] . Overall, the MFC does not rely on a mathematical model of the controlled system, requires fewer turning parameters, and exhibits high robustness.…”

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confidence: 99%

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Model-free control of permanent magnet synchronous linear motor based on ultra-local model

Su,

Li,

et al. 2024

Chin. J. Electr. Eng.

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This study proposes a model-free control (MFC) method to improve the dynamic response performance of permanent magnet synchronous linear motors (PMSLMs) and reduce motor parameter changes during motor operation. The MFC is established based on an ultra-local model that uses only the input and output of the system without using any PMSLM parameters. Compared with the conventional proportional-integral (PI) control method, the robustness of the MFC system is superior and can counteract the effects of changing motor parameters and external disturbances. Simulations and experiments were conducted with steady-state operation, sudden addition and subtraction of loads, and motor parameter perturbations. The results confirm that the proposed method is useful and robust to uncertainties in motor parameters and helps improve the dynamic performance of the PMSLM.

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Section: Use Construction Of the Ultra-local Modelmentioning

confidence: 99%

mentioning

confidence: 99%