约束关联大系统的自适应模糊容错控制
Adaptive Fuzzy Fault-Tolerant Control for Constrained Interconnected Large-Scale System
讨论了一类输出受限的非线性关联大系统的自适应分散容错控制问题. 提出了非线性映射的方法处理系统受约束的输出变量, 从而将约束量的初值选取区间扩大为整个约束空间; 用有界的参考信号代换未知关联函数的自变量, 再用模糊逼近器处理这些未知函数, 并结合自适应技术处理代换误差和逼近误差, 从而获得了全局稳定性的结果; 所有4种类型的执行器故障均可得到在线补偿. 仿真结果进一步验证了文章方法的有效性.
In this paper, the adaptive decentralized fault-tolerant control problem is discussed for a class of uncertain nonlinear large-scale systems. A novel nonlinear-mapping technique is proposed to deal with the constrained output variables, so that the system outputs can start from within the initial output constrained space; the bounded reference signals are used to replace the independent argument of the unknown interconnected functions, then the fuzzy approximators are used to deal with these unknown functions, and the adaptive technique is combined to deal with the errors of replacement and approximation, so that the globally stability of the closed-loop system is achieved; all of the four types of actuator faults can be effectively compensated for on line. Simulation results are provided to show the effectiveness of the control approach.
约束系统 / 变量代换 / 全局稳定性 / 模糊逼近 / 容错控制 / 非线性映射. {{custom_keyword}} /
/
〈 | 〉 |