伺服机构故障下运载火箭自适应重构方法  

Adaptive Reconfiguration Method for Launch Vehicles Under Servo Mechanism Fault

作　　者：胡存明 张卫东[2] 张桃源 张晓东[2] 王鹏 HU Cunming;ZHANG Weidong;ZHANG Taoyuan;ZHANG Xiaodong;WANG Peng(Shanghai Institute of Spaceflight Control Technology,Shanghai 201109,China;Shanghai Academy of Spaceflight Technology,Shanghai 201109,China)

机构地区：[1]上海航天控制技术研究所,上海201109 [2]上海航天技术研究院,上海201109

出　　处：《上海航天（中英文）》2022年第5期27-33,共7页Aerospace Shanghai（Chinese&English）

摘　　要：针对运载火箭飞行过程中发生的伺服机构故障,提出了一种基于奇异值分解(SVD)的自适应重构方法。首先,将伺服故障下重构问题转化为优化问题,完成了对伪逆法、线性规划法、混合优化法3种常用优化方法的分析和评估;其次,针对现有方法的缺点,基于SVD提出了一种求解直接重构问题次优解的改进方法,并给出推导过程。数学仿真表明,所提出的基于SVD改进的自适应重构方法,兼顾了伪逆法的计算高效、线性规划法的输出共线等优点,具有较高的工程应用价值。An adaptive reconstruction method based on singular value decomposition(SVD)is proposed for the failure detection of the servo mechanism during bundled rocket flight. First,the servo reconfiguration algorithm is considered as an optimization model,and the commonly used optimization algorithms,i. e.,the pseudo-inverse method,the linear programming method,and the hybrid optimization method,are analyzed and compared. Second,an improved method based on SVD for solving the suboptimal solution of the direct assignment problem is put forward,considering the disadvantages of the existing algorithms. Finally,mathematical simulation is carried out. The results show that the proposed method is able to provide the optimal reconfiguration strategy with higher computational efficiency while maintaining the same output direction,indicating the high engineering application value of the method.

关 键 词：运载火箭 伺服机构 故障 自适应重构 奇异值分解(SVD) 

分 类 号：V448.1[航空宇航科学与技术—飞行器设计]