通过使用FlexRay协议的高速网络,对多类不确定系统进行强大的模型预测控制
Jianhua Wang1, Fuqiang Fan1, Yanye Yu1
1Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou, Zhejiang, China.
PeerJ. Computer science
|February 3, 2025
概括
本研究介绍了一种强大的模型预测控制 (RMPC) 策略,用于在高速网络上使用FlexRay协议 (FRP) 的不确定系统. 拟议的方法提高了数据传输的灵活性和控制系统的性能.
科学领域:
- 控制系统工程 控制系统工程
- 网络控制系统 网络控制系统
- 汽车系统 汽车系统
背景情况:
- 强大的模型预测控制 (RMPC) 对不确定的系统至关重要.
- 高速网络和FlexRay协议 (FRP) 提供高效的数据传输.
- 集成控制策略与网络协议对于现代系统至关重要.
研究的目的:
- 在使用FRP的高速网络上研究RMPC问题,用于多重点不确定系统.
- 开发一个新的测量模型表达,考虑数据持有策略.
- 为稳定性提供足够的条件,并提出一个低于最佳控制的算法.
主要方法:
- 在FRP中使用事件触发和时间触发机制来实现灵活的数据传输.
- 制定一个新的测量模型,采用循环旋转和试一次丢弃协议.
- 解决一个辅助优化问题的时间变化的终端约束集,以导出控制条件.
主要成果:
- 获得了足够的条件,以确保闭环系统的稳定性.
- 开发了一种具有离线和在线组件的算法,以找到次优控制解决方案.
- 数字模拟验证了拟议的RMPC战略的有效性.
结论:
- 拟议的RMPC策略有效地处理高速率网络与FRP的多重点不确定系统.
- 整合FRP可以提高数据传输的灵活性和控制性能.
- 开发的方法为在网络系统中实施先进控制提供了一种实际的方法.
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