强大的多步间隔观察器通过凸的LMI与UAV和BMS的应用程序
Awais Khan1, Wenshuo Wang1, Arshad Rauf2
1Department of Energy and Transportation, Beijing Institute of Technology Zhuhai Campus, Zhuhai, 519088, Guangdong, China.
本研究介绍了对于离散时间系统的强大的多步间隔观察器 (IO). 新型观察器提供了保证的安全边界,提高了安全关键应用中的状态估计准确性和效率.
科学领域:
- 控制系统工程 控制系统工程
- 强大的控制理论.
- 国家估计.
背景情况:
- 准确的状态估计对于安全关键系统至关重要,但受到不确定性的挑战.
- 传统的点观测器 (如卡尔曼,卢恩伯格) 在干扰和模型错误下往往不可靠.
- 间隔观察员 (IOs) 通过提供有限的估计,确保安全,提供保证的稳定性.
研究的目的:
- 为离散时间系统提出一个强大的多步间隔观察器 (IO).
- 使用预测结构来提高状态估计准确性,干扰拒绝和延迟弹性.
- 确保实时应用程序的计算效率和可扩展性.
主要方法:
- 一个q-step预测结构在可选择的时间范围内汇总系统动态.
- 凸线性矩阵不等式 (LMI) 设计用于计算观察者收益.
- 该方法确保了非负误差动态,没有复杂的转换或代调整.
主要成果:
- 拟议的IO在基准应用中实现了显著更紧的间隔界限 (±0.1%与±2.5%).
- 与现有方法相比,证明了更高的准确性,更快的收率和更低的计算负载.
- 在非最小阶段无人机和离子电池管理系统 (BMS) 上验证的有效性.
结论:
- 强大的多步骤IO为不确定性下的状态估计提供了卓越的性能和可靠性.
- 基于LMI的设计确保了实时部署的计算效率和可扩展性.
- 该框架为航空航天,汽车和能源领域的间隔观察员设计提供了有前途的进展.
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