对于PMSM网络物理系统的实用预定义时间滑动模式适应性弹性控制.
Zhenzhong Wang1, Shu Zhang1, Yun Jiang2
1Advanced Institute of Information Technology, Peking University, Hangzhou 311200, China.
Sensors (Basel, Switzerland)
|December 11, 2025
概括
本研究介绍了网络物理系统 (CPS) 中永磁同步电机 (PMSM) 的弹性控制算法,以确保在网络攻击下控制速度. 这种新的方法保证了预先定义的时间趋同,提高了系统的安全性和性能.
科学领域:
- 控制系统工程 控制系统工程
- 网络物理系统安全 网络物理系统安全
- 机器人和自动化 机器人和自动化
背景情况:
- 永久磁铁同步电机 (PMSM) 在网络物理系统 (CPS) 中至关重要.
- 网络控制系统面临着对恶意网络攻击的脆弱性,影响PMSM性能.
- 现有的控制算法可能在融合时间和对不确定性的弹性方面存在局限性.
研究的目的:
- 为在网络威胁下不确定的PMSM开发一种新的弹性控制算法.
- 尽管有恶意攻击,确保轨迹跟踪错误 (TTEors) 的预定义时间趋同.
- 增强基于PMSM的CPS的稳定性和安全性.
主要方法:
- 引入一个新的Lyapunov稳定性标准,具有可调节的增益达到法和预定义时间收 (PreTC).
- 一个采用PreTC的滑动模式 (SMS) 控制器的设计.
- 使用极端学习机器 (ELM) 来实时识别物理层模型和网络攻击.
- 在没有明确的物理模型信息的情况下开发滑动模式自适应弹性控制器.
主要成果:
- 拟议的算法保证了CPS中PMSM的预定义时间 (PDT) 稳定性.
- 对网络攻击,参数干扰和外部干扰表现出优越的弹性.
- 在比较模拟中实现了0.008的电机转速跟踪误差准确度.
- 通过与四种不同的弹性控制算法进行比较来验证有效性.
结论:
- 开发的弹性控制算法有效地确保PMSM在网络攻击下在特定时间内控制速度.
- 该算法为PMSM驱动的CPS提供了针对各种不确定性的增强的稳定性和安全性.
- 这项工作在保护联网动力驱动系统方面取得了重大进展.
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