华南农业大学学报2018，Vol.39Issue(4)：114-119,6.DOI:10.7671/j.issn.1001-411X.2018.04.018
应用云模型的无人农业车辆遇障速度控制策略
Velocity control strategy based on a cloud model for unmanned agricultural vehicle during obstacle crossing
摘要
Abstract
[Objective]To improve the intelligence and safety of remote-operated agricultural vehicles.[Method]A new method for unmanned agricultural vehicles during obstacle crossing was proposed.The collision prediction model of unmanned vehicles in dynamic environment was established,and the real-time collision location was determined.According to the cloud inference principle based on both experience of experts and agricultural operation environment,velocity control strategy was established to realize velocity control.[Result]The algorithm took 0.170 1 s on average to make a prediction,the velocity control results of unmanned vehicles excluded the impact of non-threatening obstacles and accorded with the velocity cloud inference principle.[Conclusion]The established algorithm is able to realize real-time collision prediction,possesses anti-disturbance ability,and satisfies real-time requirement.关键词
云模型/无人农业车辆/碰撞预测/速度控制策略Key words
cloud model/unmanned agricultural vehicle/collision prediction/velocity control strategy分类
农业科技引用本文复制引用
范博文,薛金林..应用云模型的无人农业车辆遇障速度控制策略[J].华南农业大学学报,2018,39(4):114-119,6.基金项目
江苏省科技计划项目(SBK2015022003) （SBK2015022003）
