对于具有动态定量化和执行器故障的非线性异常扰动系统的分散控制
1School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, 430081, People's Republic of China.
ISA transactions
|April 28, 2024
概括
本研究涉及非线性异常扰乱系统 (SPSs) 的散散控制,这些系统面临动态定量化和执行器故障. 该研究开发了一个独立的控制器,尽管有网络限制,但确保了系统的稳定性和性能.
科学领域:
- 控制理论 控制理论
- 系统工程 系统工程
- 模糊系统 (Fuzzy Systems) 是一个模糊系统.
背景情况:
- 非线性异常扰动系统 (SPSs) 存在重大控制挑战.
- 动态量化和执行器故障使控制系统设计复杂化,原因是网络带宽限制和潜在的组件故障.
- 塔卡吉-苏杰诺 (T-S) 模糊模型对于表示非线性系统是有效的.
研究的目的:
- 调查非线性SPS与动态定量化和执行器故障的消散控制问题.
- 设计一个独立于 ε 的状态反控制器,以保证异交稳定性和散射性能.
- 开发一种方法来确定最大稳定性限制 (ε).
主要方法:
- 使用Takagi-Sugeno (T-S) 模糊模型来表示非线性植物.
- 在控制器设计中使用线性矩阵不等式 (LMI).
- 将动态量化纳入控制框架中,并考虑执行器故障.
- 开发一个搜索算法,以找到最大稳定性边界 (ε).
主要成果:
- 对于一个独立于ε的状态反控制器,我们得出了足够的设计条件.
- 拟议的控制器确保闭环系统在异构上保持稳定.
- 控制器保证系统达到预定义的散射性能.
- 提出了一个搜索算法,以找到最大稳定性边界 (ε).
结论:
- 开发的方法有效地解决了非线性SPS与动态定量化和执行器故障的消散控制问题.
- 拟议的控制器设计是可行的和有效的,正如两个例子所示.
- 该方法为在网络约束和潜在组件故障下运行的系统提供了强大的解决方案.
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