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Predictive current control strategy for PMSM based on NADRC

2026-08-07 · Frontiers in Mechanical Engineering

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One-line summary

An autonomous driving research paper: Predictive current control strategy for PMSM based on NADRC.

Engineering notes

Results The proposed strategy achieves zero overshoot across all test conditions. During sudden 10 N·m load, the speed drop is only 285 r/min with 1.5 s recovery; acceleration and reversal response time are reduced by 40% and 70% respectively, and d/q‐axis current ripples are significantly weakened.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Introduction Predictive current control (PCC) for permanent magnet synchronous motors (PMSM) exhibits slow response and obvious chattering under parameter variation and load shock, while existing schemes cannot coordinate anti-disturbance performance, dynamic speed and battery power constraints. Methods This paper designs an improved dynamic double-power reaching law (DPRL) with finite-time convergence and low chattering, embeds it into nonlinear active disturbance control (NADRC) coupled with an extended sliding mode disturbance observer, and adds a battery power limiting module. Simulations and dual-motor bench tests are implemented with multiple contrast algorithms and ablation groups. Results The proposed strategy achieves zero overshoot across all test conditions. During sudden 10 N·m load, the speed drop is only 285 r/min with 1.5 s recovery; acceleration and reversal response time are reduced by 40% and 70% respectively, and d/q‐axis current ripples are significantly weakened. Discussion The integrated DPRL‐NADRC PCC enhances PMSM robustness and dynamic performance under complex disturbances and power constraints. Future work will develop automatic gain tuning algorithms and validate the method under high‐speed demagnetization and multi-motor operating scenarios.

5.0Engineering value
7.0Research novelty
5.0Business relevance

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