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一种基于扩张状态观测器(ESO)技术的移动基座快速寻北算法。

A Fast North-Finding Algorithm on the Moving Pedestal Based on the Technology of Extended State Observer (ESO).

作者信息

Bai Yunchao, Li Bing, Zhang Haosu, Wang Sheng, Yan Debao, Gao Ziheng, Pan Wenchao

机构信息

State Key Laboratory for Manufacturing Systems Engineerng, Xi'an Jiaotong University, Xi'an 710054, China.

International Joint Research Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University, Xi'an 710049, China.

出版信息

Sensors (Basel). 2022 Oct 5;22(19):7547. doi: 10.3390/s22197547.

Abstract

We propose a kind of fast and high-precision alignment algorithm based on the ESO technology. Firstly, in order to solve the problems of rapid, high-accuracy, and anti-interference alignment on the moving pedestal in the north-seeker, the ESO technology in control theory is introduced to improve the traditional Kalman fine-alignment model. This method includes two stages: the coarse alignment in the inertial frame and fine alignment based on the ESO technology. By utilizing the ESO technology, the convergence speed of the heading angle can be greatly accelerated. The advantages of this method are high-accuracy, fast-convergence, strong ability of anti-interference, and short time-cost (no need of KF recursive calculation). Then, the algorithm model, calculation process, and the setting initial-values of the filter are shown. Finally, taking the shipborne north-finder based on the FOG (fiber-optic gyroscope) as the investigated subject, the test on the moving ship is carried out. The results of first off-line simulation show that the misalignment angle of the heading angle of the proposed (traditional) method is ≤2.1' (1.8') after 5.5 (10) minutes of alignment. The results of second off-line simulation indicate that the misalignment angle of the heading angle of the proposed (traditional) method is ≤4.8' (14.2') after 5.5 (10) minutes of alignment. The simulations are based on the ship-running experimental data. The measurement precisions of Doppler velocity log (DVL) are different in these two experiments.

摘要

我们提出了一种基于扩张状态观测器(ESO)技术的快速高精度对准算法。首先,为了解决寻北仪中移动基座上快速、高精度和抗干扰对准的问题,引入控制理论中的ESO技术来改进传统的卡尔曼精对准模型。该方法包括两个阶段:惯性系中的粗对准和基于ESO技术的精对准。通过利用ESO技术,可以大大加快航向角的收敛速度。该方法的优点是精度高、收敛快、抗干扰能力强且时间成本短(无需卡尔曼滤波器递归计算)。然后,给出了算法模型、计算过程以及滤波器的初始值设置。最后,以基于光纤陀螺(FOG)的船载寻北仪为研究对象,在航行的船舶上进行了测试。首次离线仿真结果表明,所提(传统)方法在对准5.5(10)分钟后,航向角的对准误差≤2.1'(1.8')。第二次离线仿真结果表明,所提(传统)方法在对准5.5(10)分钟后,航向角的对准误差≤4.8'(14.2')。这些仿真是基于船舶航行实验数据进行的。在这两个实验中,多普勒速度计(DVL)的测量精度不同。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9ef/9572344/0609d37e551f/sensors-22-07547-g001.jpg

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