Projectile Weight and Its Impact's Velocity Identification Using the Time Domain BP Neural Network Scheme

• Main Authors: Chao, Chih Hang, 趙志航
• Other Authors: S.T. Jenq
• Format: Others
• Language: zh-TW
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/67216495316805789389

碩士 === 國立成功大學 === 航空太空工程學系 === 86 === The purpose of the present study is to identify projectile's weight and its associated impact velocity utilizing neural network scheme based on strain gauges measured stress wave information. A series of tests were conducted in order to measure the stress wave propagated in the target rod. Circular steel rod with a diameter of 12.7 mm and ranging from 20 cm to 40 cm were used as the projectile in the experiment. Target rod, with a length of 100cm, made of steel was struck by the impact rod at impact velocities ranging from 10 m/s to 20 m/s. A total of 130 impact tests with five different projectile length traveling at various incident velocity were conducted in this work. Strain gauges(Tokyo Sokki Kenkyujo Co., Ltd., FLA-5-11-1L) were mounted in the target rod in order to measure the stress wave signal. Fifteen measured time domain impact signals are used as the input data and the corresponding projectile's weight and its impact velocity are regarded as the output data in the neural networks. The time-domain back-propagation neural network with adaptive learning rate scheme is adopted in the present work. The trained network is capable of identifying the projectile's weight and its impact velocity for untrained cases closely.