一个新的多目标最佳LQ控制策略,用于收集车辆悬架系统中的能量
Paul Christian Tesso Woafo1, Gianfranco Gagliardi2, Alessandro Casavola3
1Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica,Università della Calabria, Rende, Italy; Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, Bari, Italy.
ISA transactions
|September 26, 2025
概括
一个新的最佳线性二次调节器 (LQR) 控制规律最大限度地提高了再生悬浮中的能量收获. 这种先进的控制策略显著提高了收集的能量,同时保持了驾驶舒适性和简化了实施.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 可持续能源 可持续能源
背景情况:
- 再生式悬架系统用机电驱动器取代传统的阻尼器,用于收集能量.
- 优化能源发电,同时平衡驾驶舒适性和操控性是一个关键的挑战.
研究的目的:
- 提出一种新的最佳线性二次调节器 (LQR) 状态反控制法,以最大限度地提高再生悬浮系统的能量收获.
- 直接将能量收获最大化纳入LQR成本函数.
- 为了允许在能源采集,驾驶舒适度和道路处理之间进行权衡.
主要方法:
- 一个专门的LQR成本函数被设计成最大限度地提高电力发电.
- 使用MATLAB/Simulink和汽车模拟器在四分之一汽车模型上实施和测试了控制法.
- 建议的LQR策略与再生阻尼器和模型预测控制 (MPC) H2策略进行了比较.
主要成果:
- 与再生阻尼器战略相比,拟议的LQR控制法实现了37.3%的收集能量的增加.
- 与MPC H2战略相比,收获的能源增加了27.8%.
- LQR方法需要更少的调参数 (两个),并且比MPC H2.0具有较低的计算开销.
结论:
- 新的LQR控制法有效地最大化了再生悬浮中的能量收获.
- 与现有方法相比,基于LQR的方法提供了卓越的性能,更简单的实现,并适合实时应用.
- 这种方法提供了一种直接的方式来平衡能量收集与驾驶舒适度目标.
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