摘要
针对一类输出受限的非线性系统,提出了一种全局稳定的自适应模糊容错控制方案。在考虑可能发生的执行器故障的情况下,采用非线性映射的方法处理系统受约束的输出变量,采用有界的参考信号代换未知函数的自变量,并结合自适应模糊反推控制技术构造合适的控制器。结果表明,所提出的方案可以有效处理系统执行器故障,可以将约束量的初值选取区间扩大为整个约束空间,并获得全局性的稳定结果。系统输出可以有效跟踪参考信号,仿真结果进一步验证了该方法的有效性。
This paper proposed an adaptive fuzzy fault-tolerant control scheme for a class of uncertain nonlinear systems. By taking the possible actuator faults into account, the control scheme adopted a novel nonlinear-mapping technique to deal with the constrained output variables, used the bounded reference signal to replace the independent argument of the unknown functions, and combined the adaptive fuzzy backstepping control technique to construct appropriate controller. The result show that all of the actuator failures can be eliminated efficiently, the system output can start from anywhere within the initial output constrained space, and the global stability of the closed-loop system is achieved. The system output can track the reference signal effectively. Simulation results show the effectiveness of the control approach.
出处
《计算机应用研究》
CSCD
北大核心
2017年第10期3036-3041,共6页
Application Research of Computers
基金
河南省创新型科技团队项目C20150028)
河南省高校创新人才资助项目(15HASTIT021)
河南省科技攻关项目(112102210126)
河南省基础与前沿技术研究计划项目(142300410114)
河南省教育厅自然科学基金资助项目(13A520017)
关键词
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
constrained systems
variable replacement
global stability
fuzzy approximation
fault-tolerant control
non- linear mapping
