Electronics, Год журнала: 2025, Номер 14(11), С. 2229 - 2229
Опубликована: Май 30, 2025
The self-tuning of control parameters for permanent magnet synchronous motor controllers is extensively utilized in industrial and production settings. algorithms strategies employed significantly influence the quality efficiency processes. In response to diverse practical application scenarios system performance requirements, scholars have developed numerous intelligent schemes. This paper reviews a substantial body recent research on technologies controller conducted by international scholars. It summarizes typical methods, including single-neuron proportional–integral–derivative controllers, neural network optimized using particle swarm algorithms, compares their metrics through simulation studies. Additionally, it outlines optimization improvements based each algorithm, identifies key challenges, evaluates existing solutions. Finally, this provides an overview current state future prospects technology parameters.
Язык: Английский