Finite-Time Fuzzy Sampled-Data Control for Nonlinear Flexible Spacecraft With Stochastic Actuator Failures
Finite-Time Fuzzy Sampled-Data Control for Nonlinear Flexible Spacecraft With Stochastic Actuator Failures
复制标题
非线性柔性航天器随机致动器故障的有限时间模糊采样数据控制
DOI：
10.1109/tie.2017.2652366
复制
发表时间：
2017-05-01
影响因子：
7.7
通讯作者：
Li, Zhan
中科院分区：
文献类型：
--
作者：
Sun, Guanghui;Xu, Shidong;Li, Zhan
研究了具有随机执行器故障的T-S模糊非线性挠性航天器的有限时间采样控制问题。与现有文献不同的是，T-S模糊方法具有良好的逼近性能，可用于柔性航天器的非线性建模。提出了一种新的、通用的马尔可夫输入模型来描述执行器的随机故障，该模型能够覆盖各种故障模式。借助随机分析和凸优化技术，设计了一种新型的容错模糊切换控制器，用于在存在随机故障和采样数据输入的情况下对柔性航天器进行有限时间姿态稳定，同时确保最优H无穷性能水平。最后，通过一个实际算例的仿真结果验证了所提出的控制策略的有效性。
This paper deals with the problem of finite-time sampled-data control for nonlinear flexible spacecraft described by Takagi-Sugeno (T-S) fuzzy model with stochastic actuator failures. Different from the existing literatures, T-S fuzzy approach is used to model the nonlinear behaviors of flexible spacecraft for its good approximation performance. A novel and general input model related to Markovian variables is developed to depict the stochastic actuator failures, which is capable of covering various faulty modes. With the aid of stochastic analysis and convex optimization techniques, a novel fault-tolerant fuzzy switching controller is designed to carry out the finite-time attitude stabilization for flexible spacecraft with the existence of stochastic failures and sampled-data inputs, and an optimal H-infinity performance level is ensured simultaneously. Finally, a practical example with simulation results are provided to validate the effectiveness of the developed control strategy.