Spacecraft Fault Diagnosis Based on Improved A∗ Algorithm

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	Spacecraft Fault Diagnosis Based on Improved A∗ Algorithm
	Gao S(高升)1,2; Zhang W(张伟)1,2; He X(何旭)1,2; Zou, Yongming 3; Li W(李伟)1,2
	2020
会议日期	July 27-29, 2020
会议地点	Shenyang, China
关键词	A* algorithm fault diagnosis fault search health management system
页码	4097-4100
英文摘要	The development of fault diagnosis systems has received more and more attention from countries and regions, especially the fault diagnosis of spacecraft. In this paper, the fault diagnosis search problem is also compared to a relationship of finding a path. An inference search tree is established. By finding the fault point in the inference search tree, a constraint condition-cost function is added to expand the branch in the search tree. At the time, the cost function is used to judge and filter, so that it can reduce many unnecessary searches and search for the optimal solution with the least amount of time. In this paper, the traditional A∗ algorithm is improved. By adding constraints, that is, the cost function, based on the traditional A∗ algorithm and adding additional structure, especially considering the state in the variable assignment, and the constraint set is Decomposed into a set of constraints. By using mutual priority independence (MPI) to solve the optimal constraint satisfiability problem (OCSP), the optimal constraint satisfiability problem is constructed as a state space search problem, and each search state corresponds to the partial allocation of decision variables. Combine the cost of each allocation to calculate the invalidity, and achieve the purpose of fast fault search.
源文献作者	Systems Engineering Society of China (SESC) ; Technical Committee on Control Theory (TCCT) of Chinese Association of Automation (CAA)
产权排序	1
会议录	Proceedings of the 39th Chinese Control Conference, CCC 2020
会议录出版者	IEEE Computer Society
会议录出版地	Washington, USA
语种	英语
ISSN号	1934-1768
ISBN号	978-9-8815-6390-3
WOS记录号	WOS:000629243504040
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/27706]
专题	沈阳自动化研究所_空间自动化技术研究室
通讯作者	Gao S(高升); Zhang W(张伟)
作者单位	1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.Shenyang Ligong University, Shenyang 110159, China
推荐引用方式 GB/T 7714	Gao S,Zhang W,He X,et al. Spacecraft Fault Diagnosis Based on Improved A∗ Algorithm[C]. 见:. Shenyang, China. July 27-29, 2020.