動力調(diào)諧陀螺儀系統(tǒng)辨識方法
發(fā)布時(shí)間:2018-09-11 15:40
【摘要】:針對動力調(diào)諧陀螺儀(DTG)系統(tǒng)辨識中,傳統(tǒng)辨識方法(最小二乘類辨識法和頻域辨識法)辨識擬合度不高的問題,提出去離群點(diǎn)頻域辨識法。該方法結(jié)合DTG模型結(jié)構(gòu)特征和固有有色噪聲特點(diǎn),將去離群點(diǎn)思想應(yīng)用于DTG模型的頻域辨識。實(shí)驗(yàn)結(jié)果表明,去離群點(diǎn)頻域辨識法的辨識效果優(yōu)于最小二乘類辨識法和傳統(tǒng)頻域辨識法,辨識擬合度在90%以上,并且辨識結(jié)果重復(fù)性好,辨識算法穩(wěn)定。在DTG系統(tǒng)辨識中,去離群點(diǎn)頻域辨識法能夠提高辨識擬合度。
[Abstract]:Aiming at the problem that the traditional identification methods (least square identification method and frequency domain identification method) are not good in (DTG) system identification of dynamic tuned gyroscopes, a frequency domain identification method for removing outliers is proposed. Combined with the structural characteristics of DTG model and the characteristic of inherent colored noise, the idea of removing outliers is applied to the frequency domain identification of DTG model. The experimental results show that the frequency domain identification method is superior to the least squares identification method and the traditional frequency domain identification method. The identification fitting degree is over 90%, and the identification results are reproducible and the identification algorithm is stable. In DTG system identification, the frequency domain identification method can improve the identification fitness.
【作者單位】: 天津大學(xué)精密儀器與光電子工程學(xué)院;精密測試技術(shù)及儀器國家重點(diǎn)實(shí)驗(yàn)室(天津大學(xué));
【基金】:國家自然科學(xué)基金資助項(xiàng)目(60972129) 國家重點(diǎn)實(shí)驗(yàn)室開放基金資助項(xiàng)目(pil1006)
【分類號】:TN966;N945.14
[Abstract]:Aiming at the problem that the traditional identification methods (least square identification method and frequency domain identification method) are not good in (DTG) system identification of dynamic tuned gyroscopes, a frequency domain identification method for removing outliers is proposed. Combined with the structural characteristics of DTG model and the characteristic of inherent colored noise, the idea of removing outliers is applied to the frequency domain identification of DTG model. The experimental results show that the frequency domain identification method is superior to the least squares identification method and the traditional frequency domain identification method. The identification fitting degree is over 90%, and the identification results are reproducible and the identification algorithm is stable. In DTG system identification, the frequency domain identification method can improve the identification fitness.
【作者單位】: 天津大學(xué)精密儀器與光電子工程學(xué)院;精密測試技術(shù)及儀器國家重點(diǎn)實(shí)驗(yàn)室(天津大學(xué));
【基金】:國家自然科學(xué)基金資助項(xiàng)目(60972129) 國家重點(diǎn)實(shí)驗(yàn)室開放基金資助項(xiàng)目(pil1006)
【分類號】:TN966;N945.14
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