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Abstract

The advance of MEMS-based inertial sensors successfully expands their applications to small unmanned

aerial vehicles (UAV), thus resulting in the challenge of reliable and accurate in-flight alignment for airborne

MEMS-based inertial navigation system (INS). In order to strengthen the rapid response capability

for UAVs, this paper proposes a robust in-flight alignment scheme for airborne MEMS-INS aided by global

navigation satellite system (GNSS). Aggravated by noisy MEMS sensors and complicated flight dynamics,

a rotation-vector-based attitude determination method is devised to tackle the in-flight coarse alignment

problem, and the technique of innovation-based robust Kalman filtering is used to handle the adverse impacts

of measurement outliers in GNSS solutions. The results of flight test have indicated that the proposed

alignment approach can accomplish accurate and reliable in-flight alignment in cases of measurement outliers,

which has a significant performance improvement compared with its traditional counterparts.

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Authors and Affiliations

Dingjie Wang
Yi Dong
Qingsong Li
Jie Wu
Yule Wen
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Abstract

In the finite control set model predictive control (FCS-MPC) strategy of the grid-tied inverter, the current ripple (CR) affects the selection of optimal voltage vectors, which leads to the increase of output current ripples. In order to solve this problem, this paper proposes a CR reduction method based on reference current compensation (RCC) for the FCS-MPC strategy of grid-tied inverters. Firstly, the influence of the CR on optimal voltage vector selection is analyzed. The conventional CR prediction method is improved, which uses inverter output voltage and grid voltage to calculate current ripples based on the space state equation. It makes up for the shortcomings that the conventional CR prediction method cannot predict in some switching states. The improved CR method is more suitable for the FCS-MPC strategy. In addition, the differences between the two cost functions are compared through visual analysis. It is found that the sensitivity of the square cost function to small errors is better than that of the absolute value function. Finally, the predicted CR is used to compensate the reference current. The compensated reference current is substituted into the square cost function to reduce the CR. The experimental results show that the proposed method reduces the CR by 47.3%. The total harmonic distortion (THD) of output current is reduced from 3.86% to 2.96%.
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Authors and Affiliations

Nan Jin
1
ORCID: ORCID
Wuchuang Fan
1
Jie Fang
1
Jie Wu
1
Yongpeng Shen
1

  1. Zhengzhou University of Light Industry, College of Electrical and Information Engineering, China

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