| 基于BP神经网络的AGV防撞预测方法研究 |
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| 引用本文： | 高江徽,鲁力群,李辉. 基于BP神经网络的AGV防撞预测方法研究[J]. 汽车实用技术, 2020, 0(3): 226-229 |
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| 作者姓名： | 高江徽 鲁力群 李辉 |
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| 作者单位： | 山东理工大学交通与车辆工程学院,山东 淄博 255000;山东理工大学交通与车辆工程学院,山东 淄博 255000;山东理工大学交通与车辆工程学院,山东 淄博 255000 |
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| 摘 要： | 在AGV(Automated Guided Vehicle)运行过程中,建立BP神经网络预测模型,对周围环境的智能移动体的运动轨迹进行综合动态预测和评估,结合纳什均衡理论建立移动机器人运动决策模型,使得AGV在运行过程中建立类人判断的能力即考虑AGV和其他移动智能体的相对位置的关系,对其他的移动智能体的预测价值可以有效的评估。文章通过构建动态博弈模型求解灰色碰撞概率,可以高效的为AGV防撞提供合理的参考。
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| 关 键 词： | AGV BP神经网络 预测 灰色碰撞概率 |
Research on Anti-collision Prediction Method of AGV Based on BP Neural Network |
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| Gao Jianghui,Lu Liqun,Li Hui. Research on Anti-collision Prediction Method of AGV Based on BP Neural Network[J]. , 2020, 0(3): 226-229 |
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| Authors: | Gao Jianghui Lu Liqun Li Hui |
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| Affiliation: | (School of Transportation and Vehicle Engineering,Shandong University of Technology,Shangdong Zibo 255000) |
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| Abstract: | During the operation of AGV(automated guided vehicle),a BP neural network prediction model is established to comprehensively predict and evaluate the motion trajectory of intelligent mobile agents in the surrounding environment,and a mobile robot motion decision model is established based on Nash equilibrium theory,so that AGV can establish the ability of human like judgment in the operation process,that is,considering the relative position of AGV and other mobile agents Relationship can effectively evaluate the predictive value of other mobile agents.In this paper,we build a dynamic game model to solve the grey collision probability,which can provide a reasonable reference for AGV anti-collision. |
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| Keywords: | AGV BP neural network Predict Grey collision probability |
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