一个适应性直接数据驱动的控制器,用于非线性系统的参考跟踪
Luka Mandić1, Đula Nađ1, Nikola Mišković2
1Laboratory for Underwater Systems and Technologies (LABUST), Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, Zagreb, 10000, Croatia.
本研究介绍了一种可适应轨迹数据启用预测控制器 (ATDeePC),用于数据驱动的参考跟踪. 这种新的算法可确保安全,受约束和强大的控制系统,如无人驾驶表面车辆 (USV).
科学领域:
- 系统控制理论 系统控制理论
- 数据驱动的控制方法数据驱动的控制方法
- 机器人和自动化机器人与自动化
背景情况:
- 参考跟踪在系统控制中至关重要.
- 数据驱动的方法在控制问题上越来越突出.
- 现有的方法可能会面临复杂或尚未探索的系统动态的挑战.
研究的目的:
- 提出一个新的数据支持的预测控制器,用于增强参考跟踪.
- 开发一个控制器,以确保安全性,约束满意度和稳定性.
- 为了评估控制器在模拟无人驾驶地面车辆 (USV) 上的性能.
主要方法:
- 开发一个自适应轨迹数据启用预测控制器 (ATDeePC) 算法.
- 当地线性模型构建和预测存储.
- 根据在线和参考轨迹,为汉克尔矩阵构造选择适当的线性化模型轨迹.
主要成果:
- 该ATDeePC算法证明了安全的闭环操作.
- 控制器成功地满足了操作约束.
- 控制器表现出强度和适应新系统状态的适应性.
结论:
- ATDeePC算法为数据驱动的参考跟踪提供了一个强大的,适应性的解决方案.
- 拟议的控制器在USV应用的模拟中表现优于常见的方法.
- 这种方法通过数据启用来推进预测控制领域.
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