Localization method of aircraft intelligent skin impact area based on truncated reverse weighted sum
A technology of intelligent skinning and regional positioning, which is applied in aircraft component testing, aircraft health monitoring devices, elastic testing, etc. It can solve problems such as positioning conflicts and difficult positioning in the middle area, so as to improve reliability, accuracy, The effect of reducing complexity
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Embodiment 1
[0046] In this embodiment, P piezoelectric sensors and M impact area monitoring systems are arranged on the intelligent skin structure of the composite wing of the UAV, forming a total of Q impact monitoring sub-areas, and each impact monitoring sub-area consists of R vertices Composition, wherein P=15, M=1, Q=8, R=4. Impact is applied to No. 2 impact monitoring sub-area, the impact position is as follows image 3 shown. No. 1 to No. 15 piezoelectric sensors generate shock response signals. No. 1 shock area monitoring system converts the response signals of 15 piezoelectric sensors into digital sequences, a total of 15 digital sequences, and the length of each digital sequence obtained is K. Wherein K=500, the obtained digital sequence is as Figure 4 shown. according to Figure 5 As shown in the flow chart of the impact area positioning algorithm, the workflow of the entire monitoring system is as follows:
[0047] 1. Set a value N, and No. 1 impact area monitoring syste...
Embodiment 2
[0052] In this embodiment, P piezoelectric sensors and M impact area monitoring systems are arranged on the intelligent skin structure of the composite wing of the UAV, forming a total of Q impact monitoring sub-areas, and each impact monitoring sub-area consists of R vertices Composition, wherein P=30, M=2, Q=20, R=4. Impact is applied to the No. 17 impact monitoring sub-area, and the impact position is as follows Figure 8 shown. No. 1 to No. 30 piezoelectric sensors generate shock response signals, No. 1 impact area monitoring system converts the response signals of No. 1 to No. 15 piezoelectric sensors into digital sequences, and No. 2 impact area monitoring system converts No. The response signal of the sensor is converted into a digital sequence, a total of 30 digital sequences, the length of each digital sequence obtained is 500 points, the obtained digital sequence is as follows Figure 9 shown. according to Figure 10 As shown in the flow chart of the impact area ...
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