模型预测控制速度依赖式主动悬架系统与道路预览信息的模型预测控制
Qiangqiang Li1, Zhiyong Chen1, Haisheng Song2
1The State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130012, China.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
本研究引入了积极悬挂的模型预测控制 (MPC),改善了对不同车速的减压控制. 先进的系统通过适应实时条件来提高驾驶舒适性和稳定性.
科学领域:
- 汽车工程 汽车工程
- 控制系统工程 控制系统工程
- 机械电子学是什么意思 机械电子学
背景情况:
- 活动悬架系统对于车辆的稳定性和驾驶舒适性至关重要.
- 传统的控制器与速度依赖的动态和时间延迟作斗争.
- 模型预测控制 (MPC) 为先进的控制策略提供了一个框架.
研究的目的:
- 开发一个增强的模型预测控制 (MPC) 方案,用于取决于速度的活性悬架.
- 为了提高减噪控制在变化车辆速度下的性能.
- 为了实现复杂的控制法律的简化在线实施.
主要方法:
- 一个半车型的车型被增强了速度依赖的前和后轮时间延迟,使用帕德近似.
- 应用了线性参数变化 (LPV) 技术来处理时间变化的参数.
- 适应式卡尔曼波器被用于与传感器噪声的状态估计.
- 使用多参数线性编程 (mp-LP) 来离线衍生出明确的控制规律.
主要成果:
- 拟议的MPC方案显著改善了主动悬浮减压控制.
- 在一系列的车辆速度中,表现得更好.
- 控制器有效地管理了取决于速度的动态和时间延迟.
- 在线实施通过基于查找表的解决方案搜索来简化.
结论:
- 基于LPV的MPC为主动悬挂控制提供了强大而有效的解决方案.
- 与被动控制策略相比,该方法提供了更高的性能.
- 这种方法在动态运行条件下增强了车辆动态控制.
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