Extended State Observer-Based Deadbeat Predictive Current Control for IPMSM Enhancing Full Parameter Robustness
Jialiang Dai, Li Liu, Jungho Ahn, Ju Hyun Lee, Hyunwoo Kim
Hanyang University Purdue University West Lafayette
内容与影响
This paper introduces a Deadbeat Predictive Current Control (DPCC) method that incorporates an Extended State Observer to address parameter mismatches, in Interior Permanent Magnet Synchronous Motor drives. Initially, the foundational principles of traditional deadbeat control are delineated, followed by an analysis of the inductance parameter sensitivity inherent in conventional DPCC methods. While the existing DPCC algorithm targets inductance variations, its scope is inadequate for applications demanding high control precision and robustness. Consequently, the sensitivities of resistance, inductance, and flux linkage parameters to predictive current errors are examined. An Extended State Observer is then implemented to monitor system disturbances caused by parameter deviations, facilitating real-time disturbance compensation in traditional predictive control algorithms. Ultimately, both simulation and experimental outcomes affirm that the proposed method effectively mitigates the influence of parameter mismatches on control efficacy and diminishes the parameter sensitivity of the DPCC approach.
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