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基于BP神经网络的自行高炮车体姿态预测方法研究 被引量:2
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作者 郭峰 谢立中 +1 位作者 周成 于存贵 《机械制造与自动化》 2021年第5期125-128,共4页
针对目前技术难以实现高射速状态下对高炮载车姿态进行实时测试的问题,提出一种基于BP神经网络的姿态预测方法。建立某自行高炮刚柔耦合动力学模型,通过试验数据修正模型以保证仿真结果的可靠性。针对射击条件均匀设计工况并仿真,提取... 针对目前技术难以实现高射速状态下对高炮载车姿态进行实时测试的问题,提出一种基于BP神经网络的姿态预测方法。建立某自行高炮刚柔耦合动力学模型,通过试验数据修正模型以保证仿真结果的可靠性。针对射击条件均匀设计工况并仿真,提取姿态信息,经过数据预处理建立样本库。在matlab中设计BP神经网络结构参数,通过训练完成载车姿态预测模型的构建。结果表明,在不同的工况下,代理模型均可快速实现姿态预测,且满足精度要求。 展开更多
关键词 高射速 自行高炮 载车姿态 仿真 神经网络 刚柔耦合
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Load on Bicycle Frame During Cycling with Different Speeds and Gestures 被引量:2
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作者 项忠霞 田冠 +2 位作者 许文 关新 于晓然 《Transactions of Tianjin University》 EI CAS 2011年第4期270-274,共5页
Experiment and dynamic simulation were combined to obtain the loads on bicycle frame. A dynamic model of body-bicycle system was built in ADAMS. Then the body gestures under different riding conditions were captured b... Experiment and dynamic simulation were combined to obtain the loads on bicycle frame. A dynamic model of body-bicycle system was built in ADAMS. Then the body gestures under different riding conditions were captured by a motion analysis system. Dynamic simulation was carried out after the data of body motions were input into the simulation system in ADAMS and a series of loads that the body applied on head tube, seat pillar and bottom bracket were obtained. The results show that the loads on flame and their distribution are apparently different under various riding conditions. Finally, finite element analysis was done in ANSYS, which showed that the stress and its distribution on frame were apparently different when the flame was loaded according to the bicycle testing standard and simulation respectively. An efficient way to obtain load on bicycle flame accurately was proposed, which is sig- nificant for the safety of cycling and will also be the basis for the bicycle design of digitalization, lightening and cus- tomization. 展开更多
关键词 BICYCLE load of frame gesture capturing dynamic simulation
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