SINS基于非線性量測的大失準(zhǔn)角初始對準(zhǔn)算法
發(fā)布時間:2018-04-19 16:12
本文選題:大失準(zhǔn)角 + 初始對準(zhǔn); 參考:《宇航學(xué)報》2016年03期
【摘要】:針對陸用捷聯(lián)慣導(dǎo)系統(tǒng)(SINS)大失準(zhǔn)角初始對準(zhǔn)問題,提出一種基于二階非線性量測的二階泰勒級數(shù)展開的初始對準(zhǔn)算法。首先,將大失準(zhǔn)角非線性對準(zhǔn)問題,轉(zhuǎn)化為具有線性系統(tǒng)方程和二階非線性量測方程的濾波問題。然后,設(shè)計基于二階非線性量測方程的二階泰勒級數(shù)展開的濾波算法,可以在任意姿態(tài)和無初值條件下進(jìn)行初始對準(zhǔn)和參數(shù)估計。最后進(jìn)行車載對準(zhǔn)試驗,結(jié)果表明,新算法可以在300 s內(nèi)完成實(shí)現(xiàn)大失準(zhǔn)角初始對準(zhǔn),對準(zhǔn)精度與傳統(tǒng)分段對準(zhǔn)算法相當(dāng)。
[Abstract]:In view of the initial alignment of the large misalignment angle of the land strapdown inertial navigation system (SINS), an initial alignment algorithm for the two order Taylor series expansion based on the two order nonlinear measurement is proposed. First, the problem of the nonlinear alignment of the large misalignment angle is transformed into a filtering problem with a linear system equation and a two order nonlinear measurement equation. The filtering algorithm of the two order Taylor series expansion of the two order nonlinear measurement equation can be used for initial alignment and parameter estimation under any attitude and without initial value. Finally, the vehicle alignment test is carried out. The results show that the new algorithm can accomplish the initial alignment of the large misalignment angle in 300 s, and the alignment accuracy is equivalent to the traditional piecewise alignment algorithm.
【作者單位】: 西北工業(yè)大學(xué)自動化學(xué)院;中國工程物理研究院電子工程研究所;
【分類號】:U463.67;U495
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1 李逍帥;車載姿態(tài)測量裝置及數(shù)據(jù)處理算法研究[D];哈爾濱工業(yè)大學(xué);2014年
,本文編號:1773800
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