改进虚拟方波信号注入的内置式永磁同步电机最大转矩电流比控制策略

doi:10.19595/j.cnki.1000-6753.tces.241582

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Abstract In order to use the magnetic reluctance torque of the interior permanent magnet synchronous motor (IPMSM), maximum torque per ampere (MTPA) control is generally used to achieve the control effect of maximum torque output per unit stator current. Since the traditional MTPA control strategy usually uses the torque equation to calculate the given value of d-q axis currents directly, it is sensitive to motor parameters, which makes it difficult to operate at the optimal operating point. Therefore, related scholars proposed the virtual signal injection MTPA (VSI-MTPA) control to reduce the sensitivity of motor parameters. However, this control strategy requires complex coordinate transformations to convert the motor d-q axis currents into the current vector i_s and the current vector angle β. Then, it injects the virtual sinusoidal signals into the current vector angle β. Subsequently, the coordinate changes are performed to obtain the d-q axis currents after injecting the virtual signals ( and ). Conventional band-pass and low-pass filters are also required to extract the virtual signal.
The complex coordinate transformation and the use of filters increase the model's complexity, reducing the control rate. Moreover, neglecting high-order terms in the Taylor series expansion of the electromagnetic torque leads to errors in tracking the operating point, which reduces the control accuracy.
This paper proposes an improved virtual square wave signal injection MTPA (IVSWSI-MTPA) control strategy. Firstly, the IVSWSI-MTPA strategy injects a specific virtual square wave signal to accelerate the control rate of the VSI-MTPA strategy, which avoids using band-pass and low-pass filters in the virtual signal extraction. Moreover, this control strategy directly injects the virtual square wave signal into the d-q axis currents to obtain the d-q axis currents after the injection of the virtual signal ( and ), avoiding complex coordinate transformations. Thus, the model complexity is reduced, and the control rate is accelerated. Secondly, to improve the control accuracy of the VSI-MTPA control strategy, the torque equation is regarded as a binary function with independent variables i_d and i_q. The torque equation is then expanded in a Taylor series of binary functions. Accordingly, the expansion's second-order and higher partial derivative terms are automatically zero. The error caused by ignoring the higher-order partial derivative terms can be avoided, improving the control accuracy of the system. Finally, the effectiveness of the proposed control strategy is verified using the sector selection calculation method of space vector pulse width modulation (SVPWM).
The experimental results demonstrate that the IVSWSI-MTPA strategy has the following advantages. (1) The IVSWSI-MTPA strategy does not need complex coordinate transformations and band-pass and low-pass filters used in the conventional VSI-MTPA strategy. Regarding the suddenly changing state of the motor, the steady state can be reached more quickly. The dynamic response performance of the control system is improved, and the control speed is accelerated. (2) The IVSWSI-MTPA strategy requires a lower current for the same load torque output because it avoids the error caused by ignoring the higher-order partial derivative term in the Taylor expansion of electromagnetic torque. Therefore, it performs better in the tracking accuracy of the current vector angle β. The MTPA operating point can be tracked accurately, improving the system's control accuracy.

Key words： Interior permanent magnet synchronous motor maximum torque per ampere virtual signal injection space vector pulse width modulation

Received: 06 September 2024

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TM351

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	Wang Yubin
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Cite this article:

Wang Yubin,Liu Hanwen. Improved Virtual Square Wave Signal Injection MTPA Control of Interior Permanent Magnet Synchronous Motor[J]. Transactions of China Electrotechnical Society, 2025, 40(20): 6474-6486.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.241582 OR https://dgjsxb.ces-transaction.com/EN/Y2025/V40/I20/6474

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