Hybrid state estimation and model-set design of invariable-structure semi-ballistic reentry vehicle

• 出 处: Science China(Information Sciences)
• 发表日期: 2011年04期
• 关键词: estimator bounds difficulty nonlinearity uncertain quasi trajectory unbalanced c

Multiple-model approach is one of the main streams for hybrid estimation.The difficulty of this approach to estimate the hybrid state of the semi-ballistic reentry vehicle (SBRV) is model-set design.This paper proposes a quasi-Monte Carlo model set that can ensure the estimator near-optimal in the sense of minimum mean square error (MMSE).The SBRV has a high nonlinearity and its mode is spanned by multiple parameters with known bounds.The design methods and characteristics of the quasi-Monte Carlo model set are given.The proposed model set has a higher accuracy than the model-set generated by the Monte Carlo method.The theoretical analysis and simulation results show the effectiveness and reasonability of the newly designed model set.

Multiple-model approach is one of the main streams for hybrid estimation. The difficulty of this approach to estimate the hybrid state of the semi-ballistic reentry vehicle (SBRV) is model-set design. This paper proposes a quasi-Monte Carlo model set that can ensure the estimator near-optimal in the sense of minimum mean square error (MMSE) .The SBRV has a high nonlinearity and its mode is spanned by multiple parameters with known bounds. The design methods and characteristics of the quasi-Monte Carlo model set are given.The proposed model set has a higher accuracy than the model-set generated by the Monte Carlo method. The theoretical analysis and simulation results show the effectiveness and reasonability of the newly designed model set.