Predictive Current Control of PMSM Model Based on Adaptive Disturbance Observer

JIN Ai-juan, ZHANG Jin-song, LI Shao-long

Packaging Engineering ›› 2023 ›› Issue (23) : 171-180.

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PDF(3843 KB)
Packaging Engineering ›› 2023 ›› Issue (23) : 171-180. DOI: 10.19554/j.cnki.1001-3563.2023.23.021

Predictive Current Control of PMSM Model Based on Adaptive Disturbance Observer

  • JIN Ai-juan, ZHANG Jin-song, LI Shao-long
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Abstract

The work aims to design a predictive current control strategy of model based on adaptive disturbance observer, in order to realize the high-performance control of the packaging automation production line and solve the problem that the permanent magnet synchronous packaging drive motor is more sensitive to disturbance in the predictive current control of model. Firstly, an adaptive disturbance observer was designed by the prediction error. For the internal and external uncertain disturbances suffered by the system, the disturbance observer estimated the total disturbance and made compensation in the form of current. Moreover, the transient process and steady-state process of the system were considered separately, and a new loss function with dynamic weight factors was designed. The MATLAB/SIMULINK simulation showed that, compared with the traditional control method, the method proposed could maintain high-speed dynamic response in transient state and low current ripple in steady state, and show excellent performance in coping with parameter mismatch and load mutation. It has better steady-state performance and anti-interference ability. The method proposed can effectively improve the dynamic performance and robustness of the system, making the improved system more suitable for the application scenarios of packaging machines.

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JIN Ai-juan, ZHANG Jin-song, LI Shao-long. Predictive Current Control of PMSM Model Based on Adaptive Disturbance Observer[J]. Packaging Engineering. 2023(23): 171-180 https://doi.org/10.19554/j.cnki.1001-3563.2023.23.021
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