提高电动汽车驱动系统的性能,基于在故障时使用ANN和MPC的五相PMSM
Ahmed M Hassan1,2, Mohamed Eladly Metwally3
1Department of Electrical Power and Machines Engineering, Faculty of Engineering, Benha University, Shoubra, Cairo, Egypt. ahmed.hassanin@feng.bu.edu.eg.
Scientific reports
|November 29, 2025
概括
本研究介绍了电动汽车 (EV) 驱动系统的先进速度跟踪控制,有效地管理开相电机故障. 这种新的策略提高了效率和可靠性,同时降低了扭矩波动和能源消耗.
科学领域:
- 电气工程 电气工程
- 汽车工程 汽车工程
- 控制系统 控制系统
背景情况:
- 电动汽车 (EV) 驱动系统需要强大的控制策略,以确保电机故障时的可靠性.
- 电动汽车电机的开放相故障可能会降低性能,需要适应性控制解决方案.
- 五相内部永磁同步电机在效率,功率密度和故障耐受性方面具有优势.
研究的目的:
- 开发和评估一个先进的速度跟踪控制策略,用于电动汽车驱动系统经历开放相机电机故障.
- 为了提高五相内部永磁同步电机的故障耐受性和性能.
- 在故障条件下最大限度地减少扭矩波动,电流波和能量消耗.
主要方法:
- 一个五相内部永久磁铁同步电机模型被用于模拟.
- 采用多层感知人造神经网络来在线调整比例-整数控制器收益.
- 模型预测控制与量身定制的成本函数被实施,以最大限度地减少和声和扭矩波动.
- 拟议的策略与蜂蜜的优化算法进行了基准测试.
主要成果:
- 与传统方法相比,拟议的控制策略显著减少了电机扭矩波动和转速百分比超速.
- 平均平方误差和积分绝对误差的较低值在两个不同的驱动周期中实现.
- 该方法导致了较低的总波扭曲 (THD),并证明了节能.
结论:
- 先进的速度跟踪控制策略有效地处理电动汽车驱动系统中的开相电机故障.
- 人工神经网络和模型预测控制的整合提供了适应性和优化性能.
- 拟议的方法为提高电动汽车动力系统的效率,可靠性和故障耐受性提供了一个有希望的解决方案.
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