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Adaptive non-singular fault-tolerant control for hypersonic vehicle with unexpected centroid shift

机译:具有非预期质心偏移的高超音速车辆的自适应非奇异容错控制

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摘要

A study on hypersonic vehicle (HSV) with centroid shift and actuator fault is made to investigate the adaptive fault-tolerant control for stability recovery of HSV operating in off-nominal conditions. Based on the modelling and analyzing the influence of centroid shift and actuator fault on HSV, the centroid shift can cause system uncertainty, variation of inertial matrix, eccentric moment and strong coupling between the longitudinal and lateral motions, resulting in the high demand for controller. According to the difference of response time, the attitude system of HSV is divided into slow and fast loop. For handling the effect of centroid shift, actuator fault and external disturbance, an improved sliding mode controller combined with adaptive estimator is designed for the slow-loop. Nonlinear general predictive controller (NGPC) assisted by adaptive radial basis function neural network (RBFNN) is developed for fast-loop. In addition, the nonsingular improvements to fast-loop controller are also made to cope with such the problem caused by the estimation of inertial matrix. The stability and tracking ability of the system are analyzed by the Lyapunov theorem of stability. At last, the simulation results show that the fault-tolerant control algorithm provided in this paper is very effective.
机译:进行了具有质心偏移和执行器故障的高超音速飞行器(HSV)的研究,以研究非标称条件下HSV的稳定恢复的自适应容错控制。通过建模和分析质心偏移和执行器故障对HSV的影响,质心偏移会引起系统不确定性,惯性矩阵变化,偏心矩以及纵向和横向运动之间的强耦合,从而对控制器提出了很高的要求。根据响应时间的不同,HSV的姿态系统分为慢循环和快循环。为了处理质心偏移,执行器故障和外部干扰的影响,针对慢环设计了一种与自适应估计器相结合的改进的滑模控制器。自适应径向基函数神经网络(RBFNN)辅助的非线性通用预测控制器(NGPC)被开发用于快速循环。另外,还对快速环控制器进行了非奇异的改进,以解决这种由惯性矩阵估计引起的问题。通过稳定性的Lyapunov定理分析了系统的稳定性和跟踪能力。最后,仿真结果表明本文提出的容错控制算法是非常有效的。

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