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	惯性导航系统初始对准与标定最优化方法
	高钟毓 ; GAO Zhong-yu
	2010-06-08 ; 2010-06-08
关键词	惯性导航 初始对准与标定 最优化 卡尔曼滤波 随机控制 inertial navigation initial alignment and calibration optimization Kalman filter stochastic control. U666.12
其他题名	Optimum method for initial alignment and calibration of inertial navigation systems
中文摘要	从随机闭环控制系统架构出发,提出了基于随机线性控制分离性定理的惯性导航系统初始对准与标定最优化方法。内容包括:系统建模、卡尔曼滤波器设计与稳定性充要条件、随机线性控制系统最优控制律及闭环稳定性充要条件、保证初始对准与标定稳定收敛的设计准则,以及应用于空间稳定惯性导航系统初始对准与标定过程所得到的试验结果。理论分析和实验结果表明,提出的最优化方法是切实可行的,通过调整系统极点配置或全状态修正时间间隔可以实现在容许控制律条件下的最优性,最优闭环控制所产生的系统导航精度比常规的卡尔曼滤波——开环控制有显著提高。; The optimum method for initial alignment and calibration of the inertial navigation systems is provided based on the stochastic closed loop control configuration and the separability theorem of stochastic linear control systems.The contents include system modeling,design of Kalman filter and the sufficiency and necessary conditions for its stability,optimal control law of stochastic linear control system and sufficiency and necessary conditions for its closed loop stability,design guide line to guarantee the stable convergence of initial alignment and calibration processes,and experimental results of the method applied to initial alignment and calibration for space stable inertial navigation system.The theoretical analysis and experimental results show that the optimum method is realistic and feasible,and its optimization under the condition of admissible control law can be carried out through adjustment of pole location or whole-state update interval of the system,and the navigation accuracy of the system created by optimal closed loop control is remarkably better than that of conventional Kalman filter—open loop control.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/49698]
专题	清华大学
推荐引用方式 GB/T 7714	高钟毓,GAO Zhong-yu. 惯性导航系统初始对准与标定最优化方法[J],2010, 2010.
APA	高钟毓,&GAO Zhong-yu.(2010).惯性导航系统初始对准与标定最优化方法..
MLA	高钟毓,et al."惯性导航系统初始对准与标定最优化方法".(2010).

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