Model Predictive Current Control for PMSM Drives With Parameter Robustness Improvement

By Xiaoguang Zhang, L. Zhang, Yongchang Zhang. IEEE transactions on power electronics, 2019

503 citations recorded by the source corpus.

In order to solve the parameter dependence problem in model predictive control, an improved model predictive current control (MPCC) method based on the incremental model for surface-mounted permanent-magnet synchronous motor drives is proposed in this paper. First, the parameter sensitivity of a conventional MPCC method is analyzed, which indicates that the parameter mismatches would cause prediction current error and inaccurate delay compensation. Therefore, an incremental prediction model is introduced in this paper to eliminate the use of permanent magnetic flux linkage in a prediction model. Among the parameter of the incremental prediction model, only inductance mismatch contributes to the prediction error, since the influence of resistance mismatch on the control performance is very small. Therefore, in order to improve the antiparameter-disturbance capability of the MPCC method, an inductance disturbance controller, which includes the inductance disturbance observer and inductance extraction algorithm, is presented to update accurate inductance information for the whole control system in real time. Finally, simulation and experimental results both show that the proposed method can effectively eliminate the influence of the parameter mismatches on the control performance and reduce the parameter sensitivity of the MPCC method.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/685217ea442117dc7d71db571bd238d2cb1eef75

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In Electrical and Electronic Engineering

1. Lanlan Huang
2. Jialin Jin
3. Wei Ji
4. Bo Xu
5. Lei Zhang
6. Yongchang Zhang

Citations in the corpus

• Improved Non-Singular Fast Terminal Sliding Mode Control With Disturbance Observer for PMSM Drives (2021, methodology): “3083925 control [7]–[9], fuzzy control [10], and sliding mode control (SMC) [11], [12], have been widely used in the PMSM drives to improve = difference aspects of system performance.”
• Model-Free Predictive Current Control of PMSM Drives Based on Extended State Observer Using Ultralocal Model (2021, methodology): “However, MPCC relies heavily on the accuracy of the machine parameters [10].”