服务器对具有物理不确定性和网络干扰的网络物理系统进行强大的控制
Rongrong Yu1, Xu Zhao1, Mingxin Liu1
1The College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, Shandong, 266590, PR China.
ISA transactions
|March 20, 2025
概括
本研究介绍了伺服机械控制 (SRC) 用于管理复杂的网络物理系统 (CPS). 新的控制方案增强了对物理不确定性和网络干扰的稳定性,优化了自动驾驶汽车等应用程序的性能.
科学领域:
- 工程 工程师 工程师 工程师
- 控制系统 控制系统
- 网络物理系统 网络物理系统
背景情况:
- 网络物理系统 (CPS) 整合了计算和物理过程,因实时数据,物理不确定性和安全风险而存在挑战.
- 精确有效地控制CPS至关重要,但由于其固有的复杂性和潜在干扰,很难实现.
研究的目的:
- 为网络物理系统 (CPS) 设计一个强大的控制策略,以应对物理不确定性和网络干扰.
- 通过使用先进的优化技术,优化控制参数以提高系统性能.
主要方法:
- 开发了一种两相伺服稳定控制 (SRC) 设计.
- 第一阶段引入了一种新的控制方案,以在不确定性和干扰下保持稳定的性能.
- 第二阶段使用多目标优化 (非合作游戏,Stackelberg策略) 进行最佳参数选择.
主要成果:
- 拟议的SRC有效地保持稳定的性能,尽管存在物理不确定性和网络干扰.
- 使用游戏理论方法确定了最佳控制参数,显著提高了系统性能.
- 在自动驾驶汽车上进行的验证证明了SRC方法的有效性和优越性.
结论:
- 开发的Servo Robust Control (SRC) 为控制网络物理系统 (CPS) 提供了一个强大而有效的解决方案.
- 该方法成功地减轻了物理不确定性和网络干扰带来的挑战.
- 对自动驾驶汽车的应用证实了拟议的SRC的实际可行性和增强性能.
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