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$H_{\infty}$ filter for flexure deformation and lever arm effect compensation in M/S INS integration
Liu, Xixiang,Xu, Xiaosu,Wang, Lihui,Li, Yinyin,Liu, Yiting The Society of Naval Architects of Korea 2014 International Journal of Naval Architecture and Oc Vol.6 No.3
On ship, especially on large ship, the flexure deformation between Master (M)/Slave (S) Inertial Navigation System (INS) is a key factor which determines the accuracy of the integrated system of M/S INS. In engineering this flexure deformation will be increased with the added ship size. In the M/S INS integrated system, the attitude error between MINS and SINS cannot really reflect the misalignment angle change of SINS due to the flexure deformation. At the same time, the flexure deformation will bring the change of the lever arm size, which further induces the uncertainty of lever arm velocity, resulting in the velocity matching error. To solve this problem, a $H_{\infty}$ algorithm is proposed, in which the attitude and velocity matching error caused by deformation is considered as measurement noise with limited energy, and measurement noise will be restrained by the robustness of $H_{\infty}$ filter. Based on the classical "attitude plus velocity" matching method, the progress of M/S INS information fusion is simulated and compared by using three kinds of schemes, which are known and unknown flexure deformation with standard Kalman filter, and unknown flexure deformation with $H_{\infty}$ filter, respectively. Simulation results indicate that $H_{\infty}$ filter can effectively improve the accuracy of information fusion when flexure deformation is unknown but non-ignorable.
The behaviors of V2O5–WO3/TiO2 loaded on ceramic surfaces for NH3–SCR
Boxiong Shen,Fumei Wang,Bin Zhao,Yongwang Li,Yinyin Wang 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.33 No.-
The catalysts of V2O5–WO3/TiO2 loaded on ceramic surfaces were investigated to evaluate the behaviorsof catalytic activities, sulfur tolerance, K resistance, activities regeneration for K-poisoned catalyst andSi-modification in consideration the catalysts characterization. The results indicated that the high SCRactivities of these catalysts correlated with the large acid amount, the absorbed oxygen and the welldispersionof vanadium and tungsten on the surfaces. Washing the K-poisoned catalysts with sulfuricacid could partially recover the catalytic activity because of the K dissolution. Moreover, theincorporation of SiO2 with TiO2 considerably improved the resistance toward potassium because ofincreasing the acidity of the V2O5–WO3/TiO2 catalyst. The NO conversion increased from 26 to 68% for KpoisonedVW/TiO2(C-400) catalyst to 76–98% for K–VW/TiO2–SiO2(9)(C-400) catalyst at 260–410 8C. TheNH3 absorption of VW/TiO2–SiO2(6)(C-400) was 236.3 mmol/g, which was much higher than that of VW/TiO2(C-400) (73.3 mmol/g) (approximately 3.2 times higher).
Xixiang Liu,Xiaosu Xu,Lihui Wang,Yinyin Li,Yiting Liu 대한조선학회 2014 International Journal of Naval Architecture and Oc Vol.6 No.3
On ship, especially on large ship, the flexure deformation between Master (M)/Slave (S) Inertial Navigation System (INS) is a key factor which determines the accuracy of the integrated system of M/S INS. In engineering this flexure deformation will be increased with the added ship size. In the M/S INS integrated system, the attitude error between MINS and SINS cannot really reflect the misalignment angle change of SINS due to the flexure deformation. At the same time, the flexure deformation will bring the change of the lever arm size, which further induces the uncertainty of lever arm velocity, resulting in the velocity matching error. To solve this problem, a H∞ algorithm is proposed, in which the attitude and velocity matching error caused by deformation is considered as measurement noise with limited energy, and measurement noise will be restrained by the robustness of H∞ filter. Based on the classical “attitude plus velocity” matching method, the progress of M/S INS information fusion is simulated and compared by using three kinds of schemes, which are known and unknown flexure deformation with standard Kalman filter, and unknown flexure deformation with H∞ filter, respectively. Simulation results indicate that H∞ filter can effectively improve the accuracy of information fusion when flexure deformation is unknown but non-ignorable.