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Overmodulatable Parameter-Free Predictive Current Control for PMSMs
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AI
DOI：10.1109/TPEL.2024.3460182.png)
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摘要
En 中文
Although the traditional model predictive current control (MPCC) possesses superior advantages in terms of fast response, ease of implementation, and simultaneous control of multiple objections, the MPCC for permanent magnet synchronous machines (PMSMs) has a strong sensitivity to machine parameters and is a high computational method, especially in the overmodulation region. To address the above issue, an overmodulatable parameter-free predictive current control (PFPCC) for PMSMs based on an ultralocal model (ULM) is proposed in this article. First, a sliding mode observer and a model reference adaptive system have been developed to estimate the full parameters of the ULM of PMSM. Hence, the PFPCC is free of dependency on machine parameters. Subsequently, a computationally efficient three voltage vectors (VVs) PFPCC method with the ability of overmodulation is constructed by designing a simplified VV combinations preselection strategy and a low-complex overmodulation strategy. Finally, a 2 kW electric drive platform based on XC7Z030 is designed and conducted and the steady-state, dynamic, and overmodulation experiments were carried out to demonstrate the feasibility and effectiveness of the proposed method.
Keyword:
Adaptation models
Voltage control
Predictive models
Observers
Mathematical models
Computational modeling
Vectors
Model reference adaptive system (MRAS)
overmodulation
parameter-free predictive current control (PFPCC)
sliding mode observer
ultralocal model (ULM)
期刊
IF:
6.5
论文数:
1.7W
被引数:
8.3W
机构
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