Liu Dejun, Han Junjie, Chen Guangda, Cheng Yanming, Liang Xinyue, Song Chao
Engineering Training Center, Beihua University, Jilin City, China.
College of Electrical and Information Engineering, Beihua University, Jilin City, China.
Sci Rep. 2025 Jan 16;15(1):2141. doi: 10.1038/s41598-024-84768-4.
The permanent magnet synchronous motor control system is characterized by its nonlinear and strongly coupled complexity, presenting significant challenges for control performance optimization. To address these challenges, a Fuzzy adaptive fractional order [Formula: see text] control strategy based on torque observation compensation is proposed. The parameters of the fractional order [Formula: see text] controller are optimized real time using fuzzy logic reasoning, in order to enhance the speed of parameters tuning, a graphical design method of the fractional order [Formula: see text] controller parameters based on frequency domain performance indicators is proposed to obtain the initial values of the fuzzy adaptive fractional order [Formula: see text] controller parameters graphically and intuitively. Furthermore, a load torque observer is designed to improve the anti interference capability of the system by proportionally converting the observed load torque into compensation current in equal proportion. Simulation and experimental results validate that the proposed strategy demonstrates superior dynamic and static performance, as well as robustness.
永磁同步电动机控制系统具有非线性和强耦合的复杂性，这给控制性能优化带来了重大挑战。为应对这些挑战，提出了一种基于转矩观测补偿的模糊自适应分数阶[公式：见原文]控制策略。采用模糊逻辑推理实时优化分数阶[公式：见原文]控制器的参数，为提高参数调整速度，提出了一种基于频域性能指标的分数阶[公式：见原文]控制器参数图形化设计方法，以直观地图形化方式获得模糊自适应分数阶[公式：见原文]控制器参数的初始值。此外，设计了负载转矩观测器，通过将观测到的负载转矩按比例转换为补偿电流，提高系统的抗干扰能力。仿真和实验结果验证了所提策略具有优异的动态和静态性能以及鲁棒性。
