基于单次电流采样的永磁同步电机无模型预测电流控制

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Abstract Conventional model predictive control (MPC) predicts the stator current based on the current sampling and mathematical model of motor, which requires seven times of prediction to obtain the best voltage vector minimizing the current errors for two-level inverter. The main disadvantages are dependence on system model and machine parameters and high computational burden. By analyzing the predictive model of stator current for permanent magnet synchronous motor (PMSM), a fast predictive current control (FPCC) requiring only one prediction and comparison is obtained. After further simplification on FPCC, this paper proposes a model-free PCC (MFPCC), which only requires single current sampling during one control period. This method has low computational burden, strong robustness, good steady state performance and quick response. A comparative study between FPCC and MFPCC is carried out in terms of parameter sensitivity, steady state performance and dynamic response. The simulation and experimental results confirm the effectiveness of the proposed methods.

Key words： Permanent magnet synchronous motor (PMSM) fast predictive current control model-free predictive current control parameter sensitivity steady state and dynamic performance

Received: 22 December 2015 Published: 08 February 2017

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TM351

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	Articles by authors
	Zhang Hu
	Zhang Yongchang
	Liu Jiali
	Gao Suyu

Cite this article:

Zhang Hu,Zhang Yongchang,Liu Jiali等. Model-Free Predictive Current Control of Permanent Magnet Synchronous Motor Based on Single Current Sampling[J]. Transactions of China Electrotechnical Society, 2017, 32(2): 180-187.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I2/180

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