优化的光伏供电无传感器BLDC电机控制系统,使用Q频适应控制器和Levy增强的循环搜索机制
Venkatesh Tadivalasa1, Pabitra Kumar Biswas1, Upama Das2
1Department of Electrical Engineering, NIT-Mizoram, Mizoram, India.
Scientific reports
|November 29, 2025
概括
本研究介绍了太阳能无刷直流电机 (BLDC) 的智能控制器,提高了效率和性能. 这种新的方法显著降低了扭矩波动,并增强了可靠运行的动态响应.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 控制系统 控制系统
背景情况:
- 像PID和ANFIS这样的传统控制器在不同的负载和参数灵敏度下性能有限.
- 无传感器无刷直流 (BLDC) 电机控制对于电动汽车和可再生能源系统等应用至关重要.
- BLDC电机的高效可靠运行需要先进的控制策略.
研究的目的:
- 为太阳能光伏 (PV) 供电的无传感器BLDC电机开发智能控制器.
- 通过解决传统控制方法的局限性来提高无传感器BLDC电机的性能.
- 将Q-RAMC (Q-Recurrent自适应电机控制器) 与LECS (Levy-Enhanced Circular Search) 结合起来,以提高电机控制.
主要方法:
- 开发一个智能控制器,集成Q-Recurrent自适应电机控制器 (Q-RAMC) 和Levy-Enhanced循环搜索 (LECS).
- 使用太阳能光伏系统作为无传感器BLDC电机的电源.
- 通过模拟进行性能评估,将拟议的方法与PID和ANFIS控制器进行比较.
主要成果:
- 拟议的控制器显著提高了电机控制,超过了PID和ANFIS.
- 扭矩波动减少了3.10%,导致更顺的扭矩传递.
- 总体系统效率高达99%,速度过渡时间减少1.5秒,上升时间减少0.5秒.
结论:
- 开发的智能控制器为太阳能光伏供电无传感器BLDC电机提供了卓越的性能.
- 集成先进的控制技术带来了更好的动态响应和控制精度.
- 这种方法为可再生能源和电动汽车的无传感器BLDC电机应用提供了高效可靠的解决方案.
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