In maritime military activities, the real-time information of sea surface wind field is very important to improve the capability of air and sea cooperation in combat. Accurate wind speed and direction data on the surf...
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ISBN:
(纸本)9798350388084;9798350388077
In maritime military activities, the real-time information of sea surface wind field is very important to improve the capability of air and sea cooperation in combat. Accurate wind speed and direction data on the surface of the ship can provide important guarantee information for the takeoff and landing of the shipborne aircraft. The buildings on the ship and the layout of the shipboard anemometer will have an impact on the anemometer measurement results, so it is crucial to study the optimal layout of the shipboard anemometer. In this paper, a relative optimal evaluation algorithm based on shipborne anemometer layout is proposed based on the simulation model established by CFD (Computational Fluid Dynamics). Firstly, the correlation between the anemometer and the target anemometer at different positions is used as the main evaluation index, and the average absolute error of the wind direction of the anemometer is combined to obtain the optimal position of the anemometer. Secondly, according to the selected optimal location, eight anemometer layout schemes are proposed. Then, in order to finally arrive at the relatively optimal anemometer layout scheme. The improved multi-sensor fusion algorithm is used as the evaluation method, and the average relative error of wind speed and the average absolute error of wind direction are used as the evaluation criteria. The final results show that the layout of the fifth scheme (four anemometer) is: (0m, 8m, 11.5m), (0m, -8m, 11.5m), (-4.4m, 8m, 11.5m), and (-4.4m, -8m, 11.5m) is the relative optimal layout scheme of the anemometer.
Unmanned aerial vehicle (UAV) is more and more widely used in several situations, such as geography experiments or even military application. Height estimation is of great importance to control a UAV. However, estimat...
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ISBN:
(纸本)9789881563972
Unmanned aerial vehicle (UAV) is more and more widely used in several situations, such as geography experiments or even military application. Height estimation is of great importance to control a UAV. However, estimating UAV flying height by a single sensor is always of low accuracy. In order to solve this problem, we will propose a multi-sensor fusion algorithm based on Kalman filtering for UAVs flying height estimation. Then main principle is to fuse the data collected from accelerator, barometer and laser ranging module and then to predict the height of a UAV. This study will verify the validation of the proposed fusionalgorithm on the flying control platform based on Pixhawk. According to the comparative experiment, the height values predicted by the proposed algorithm are convergent. The flying experiment indicates that applying the proposed algorithm to positioning estimation problem can achieve a stable position control of UAVs.
Unmanned aerial vehicle（UAV） is more and more widely used in several situations, such as geography experiments or even military application. Height estimation is of great importance to control a UAV. However, estima...
详细信息
Unmanned aerial vehicle（UAV） is more and more widely used in several situations, such as geography experiments or even military application. Height estimation is of great importance to control a UAV. However, estimating UAV flying height by a single sensor is always of low accuracy. In order to solve this problem, we will propose a multi-sensor fusion algorithm based on Kalman filtering for UAVs flying height estimation. Then main principle is to fuse the data collected from accelerator, barometer and laser ranging module and then to predict the height of a UAV. This study will verify the validation of the proposed fusionalgorithm on the flying control platform based on Pixhawk. According to the comparative experiment, the height values predicted by the proposed algorithm are convergent. The flying experiment indicates that applying the proposed algorithm to positioning estimation problem can achieve a stable position control of UAVs.
Cyber-physical systems (CPS) is a next-generation intelligent system that realizes close integration of computing, communication and physical elements based on environmental perception. The interaction between informa...
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ISBN:
(纸本)9781728198293
Cyber-physical systems (CPS) is a next-generation intelligent system that realizes close integration of computing, communication and physical elements based on environmental perception. The interaction between information technology and the physical world makes CPS vulnerable to various malicious attacks and damage Its security. The paper designs a sensor attack detection method based on fusion interval and historical measurement. The method first builds different fault models for different sensors, and uses system dynamics equations to integrate historical measurements into the attack detection method. Different aspects of sensor measurement are analyzed. In addition, the use of historical measurement and fusion interval solves the problem of whether there is a failure when the measurements of two sensors intersect. The core idea of this method is to use the paired inconsistent relationship between sensors to detect and identify attacks.
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