实时非线性预测控制器设计用于驱动式车辆侧向稳定性,具有动态边界条件
Xiyue Zhang1,2, Ping Wang2, Jiamei Lin1,2
1State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China.
Fundamental research
|December 11, 2024
概括
本研究介绍了一种非线性模型预测控制 (NMPC) 策略,通过补偿驱动电缆系统的传输延迟来增强车辆稳定性控制. 该NMPC控制器改善了驾驶操作和横向稳定性,特别是在低附着力的道路上.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 机器人技术 机器人技术 机器人技术
背景情况:
- 驱动电线技术提高了车辆的稳定性,但引入了传输延迟.
- 现有的控制策略可能会与不可预测的延迟和复杂的驾驶条件作斗争.
研究的目的:
- 为车辆稳定性控制制定非线性模型预测控制 (NMPC) 策略.
- 为了补偿随机传输延迟固有的驱动电缆系统.
- 为了在极端条件下改善车辆的操控和横向稳定性.
主要方法:
- 将非线性车辆动力学与驾驶员行为结合起来,以定义曲率和侧滑角度的稳定区域.
- 设计了一个NMPC控制器来跟踪在确定稳定区域内的参考值.
- 使用CarSim/Simulink模拟控制器,并通过硬件在循环中的实验进行验证.
主要成果:
- 拟议的NMPC控制器有效地跟踪所需的曲率,并抑制侧滑角度.
- 控制器在低附着路况下表现出卓越的性能.
- 在NMPC中的动态边界条件改善了跟踪精度和稳定性抑制.
结论:
- 该NMPC战略成功地提高了车辆的稳定性,并弥补了传输延迟.
- 该方法在具有挑战性的驾驶场景中增强了车辆的操控和横向稳定性.
- 该方法通过全面的模拟和实验来验证.
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