高超声速飞行器模糊自适应动态面容错控制

发布时间：2018-05-08 06:54

  本文选题：高超声速飞行器 + 容错控制　； 参考：《天津大学学报(自然科学与工程技术版)》2017年05期

【摘要】：针对输入饱和下高超声速飞行器发生执行机构损伤故障并存在参数不确定的情况,提出了一种基于Nussbaum增益技术的模糊自适应动态面容错控制策略.对于飞行器的高度和速度子通道,分别设计了动态面和动态逆控制器.利用双曲正切函数逼近飞行器的输入饱和特性,并基于中值定理将其转化为控制输入的仿射形式.对于损伤故障和参数不确定导致的控制增益未知问题,通过引入Nussbaum增益技术既保证控制系统稳定,又可以避免控制器奇异问题.通过设计模糊自适应系统,在线逼近包含不确定参数与饱和逼近误差的未知函数项,且引入范数估计思想,使得每个模糊系统仅包含一个自适应参数,以减小计算量.稳定性分析证明了闭环控制系统的半全局一致最终有界性,仿真结果验证了该容错控制算法的有效性.
[Abstract]:In this paper, a fuzzy adaptive dynamic face tolerance control strategy based on Nussbaum gain technology is proposed for the damage failure of the actuator and the uncertainty of the parameters in the hypersonic vehicle under input saturation. The dynamic face and the dynamic inverse controller are designed for the altitude and velocity subchannel of the aircraft. The tangent function approximated the input saturation characteristic of the aircraft and transformed it into an affine form of control input based on the median theorem. For the unknown control gain caused by the damage and parameter uncertainty, the Nussbaum gain technique was introduced to ensure the stability of the control system and avoid the singular problem of the controller. The fuzzy self is designed by the design of fuzzy self. The adaptive system approximates the unknown function terms including the uncertain parameters and the saturation approximation error, and introduces the norm estimation idea, which makes each fuzzy system contain only one adaptive parameter to reduce the amount of calculation. The stability analysis proves the semi global ultimate boundedness of the closed-loop control system, and the simulation results verify the fault tolerance control. The effectiveness of the algorithm.

【作者单位】： 天津市过程检测与控制重点实验室天津大学电气自动化与信息工程学院;天津工业大学电气工程与自动化学院;
【基金】：天津市自然科学基金资助项目(12JCZDJC30300) 天津市过程检测与控制重点实验室开放课题基金资助项目(TKLPMC-201613) 国家留学基金资助项目~~
【分类号】：V27;V328
，

本文编号：1860403