集成的容错控制设计,采用采样输出测量,用于间隔类型-2 Takagi-Sugeno 模糊系统
IEEE transactions on cybernetics
|February 19, 2024
概括
本研究介绍了不确定非线性系统中故障估计 (FE) 和故障耐受性控制 (FTC) 的综合设计. 该方法有效地处理使用间隔类型-2模糊模型的执行器故障和干扰,并确保系统稳定性.
科学领域:
- 控制系统工程 控制系统工程
- 模糊逻辑系统 模糊逻辑系统
- 非线性系统分析 非线性系统分析
背景情况:
- 执行器故障和外部干扰对系统稳定性和性能构成重大挑战.
- 不确定的非线性系统需要强大的控制策略来实现可靠的运行.
- 现有的耐故障控制 (FTC) 方法经常与系统不确定性和采样效应作斗争.
研究的目的:
- 为不确定的非线性系统制定一个综合故障估计 (FE) 和故障耐受性控制 (FTC) 战略.
- 为了有效地处理执行器故障和外部干扰,使用间隔类型-2模糊模型.
- 在采样条件下确保系统稳定性和H∞性能.
主要方法:
- 使用间隔类型-2 (IT2) Takagi-Sugeno (T-S) 模糊模型来描述系统的不确定性.
- 设计一个模糊观察器,同时估计来自采样输出测量的系统状态和执行器故障.
- 采用不连续的Lyapunov功能技术来解决稳定性分析中的采样效应.
- 在线矩阵不平等 (LMI) 框架内共同设计FE和FTC单元.
- 纳入会员功能依赖 (MFD) 和不完善的前提匹配 (IPM) 方法,以提高灵活性和放松稳定性标准.
主要成果:
- 同时估计系统状态和执行器故障,使用模糊观察器实现.
- 在执行器故障和干扰下保证系统稳定性和H∞性能.
- 拟议的FTC战略有效地处理系统不确定性和抽样特征.
- 通过MFD和IPM方法在控制器设计中表现出灵活性.
结论:
- 集成FE和FTC设计为具有执行器故障的不确定非线性系统提供了强大的解决方案.
- 使用IT2模糊模型和先进的稳定技术可以提高控制性能和可靠性.
- 拟议的方法为需要容错的现实应用提供了实用优势.
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