To improve the human-physical-virtual coordination and integration of the digital twin workshop,3D visual monitoring and human-computer interaction of the digital twin workshop was studied.First,a novel 6D model of th...To improve the human-physical-virtual coordination and integration of the digital twin workshop,3D visual monitoring and human-computer interaction of the digital twin workshop was studied.First,a novel 6D model of the 3D visualization interactive system for digital twin workshops is proposed.As the traditional 5D digital twin model ignores the importance of human-computer interaction,a new dimension of the user terminal was added.A hierarchical real-time data-driven mapping model for the workshop production process is then proposed.Moreover,a real-time data acquisition method for the industrial Internet of things is proposed based on OPC UA(object linking and embedding for process control unified architecture).Based on the 6D model of the system,the process of creating a 3D visualization virtual environment based on virtual reality is introduced,in addition to a data-driven process based on the data management cloud platform.Finally,the 6D model of the system was confirmed using the blade rotor test workshop as the object,and a 3D visualization interactive system is developed.The results show that the system is more transparent,real-time,data-driven and more efficient,as well as promotes the coordination and integration of human-physical-virtual,which has practical significance for developing digital twin workshops.展开更多
为保证线控底盘电动汽车在遭遇执行器失效时的稳定性,并考虑人-车交互行为,提出了以驾驶人为领导者的一主多从(Single-leader-multiple-follower,SLMF)混合博弈容错控制框架。为实现驾驶人-车辆的交互控制,首先建立了两者的耦合模型。其...为保证线控底盘电动汽车在遭遇执行器失效时的稳定性,并考虑人-车交互行为,提出了以驾驶人为领导者的一主多从(Single-leader-multiple-follower,SLMF)混合博弈容错控制框架。为实现驾驶人-车辆的交互控制,首先建立了两者的耦合模型。其次,将驾驶人及5个底盘子系统即主动前轮转向(Active Front Steering,AFS)系统和4个轮毂电机建模为博弈中的6个参与者,基于Stackelberg主从博弈与多人合作博弈设计了SLMF混合博弈控制框架。考虑驾驶人具有优先控制权限及执行器对驾驶人行为的补偿作用,基于Stackelberg博弈理论建立了驾驶人与底盘子系统的主从博弈模型,其中驾驶人作为领导者通过感知跟随者的行为做出转向决策,而5个底盘子系统被建模为跟随者。由于跟随者追求共同的横向稳定控制目标,因此基于合作博弈理论建立了合作模型,并对领导者的转向策略做出最优响应。最后,为研究跟随者之间追求不同目标导致不合作时的控制效果,设计了非合作Nash博弈与Stackelberg博弈相结合的混合博弈为对比方法,通过实时硬件在环测试验证并对比了2种方法。结果表明:针对不同风格的驾驶人,所设计的方法可以保证遭遇执行器卡死失效车辆的稳定性。与不合作的情况相比,2种不同风格的驾驶人驾驶的车辆在底盘子系统合作时,车辆稳定性分别提升了54.62%和53.78%,驾驶人工作负荷分别降低了31.79%和36.07%。展开更多
基金The National Natural Science Foundation of China(No.51875332)the Capacity Building Projects of Some Local Universities of Shanghai Science and Technology Commission(No.18040501600).
文摘To improve the human-physical-virtual coordination and integration of the digital twin workshop,3D visual monitoring and human-computer interaction of the digital twin workshop was studied.First,a novel 6D model of the 3D visualization interactive system for digital twin workshops is proposed.As the traditional 5D digital twin model ignores the importance of human-computer interaction,a new dimension of the user terminal was added.A hierarchical real-time data-driven mapping model for the workshop production process is then proposed.Moreover,a real-time data acquisition method for the industrial Internet of things is proposed based on OPC UA(object linking and embedding for process control unified architecture).Based on the 6D model of the system,the process of creating a 3D visualization virtual environment based on virtual reality is introduced,in addition to a data-driven process based on the data management cloud platform.Finally,the 6D model of the system was confirmed using the blade rotor test workshop as the object,and a 3D visualization interactive system is developed.The results show that the system is more transparent,real-time,data-driven and more efficient,as well as promotes the coordination and integration of human-physical-virtual,which has practical significance for developing digital twin workshops.
文摘为保证线控底盘电动汽车在遭遇执行器失效时的稳定性,并考虑人-车交互行为,提出了以驾驶人为领导者的一主多从(Single-leader-multiple-follower,SLMF)混合博弈容错控制框架。为实现驾驶人-车辆的交互控制,首先建立了两者的耦合模型。其次,将驾驶人及5个底盘子系统即主动前轮转向(Active Front Steering,AFS)系统和4个轮毂电机建模为博弈中的6个参与者,基于Stackelberg主从博弈与多人合作博弈设计了SLMF混合博弈控制框架。考虑驾驶人具有优先控制权限及执行器对驾驶人行为的补偿作用,基于Stackelberg博弈理论建立了驾驶人与底盘子系统的主从博弈模型,其中驾驶人作为领导者通过感知跟随者的行为做出转向决策,而5个底盘子系统被建模为跟随者。由于跟随者追求共同的横向稳定控制目标,因此基于合作博弈理论建立了合作模型,并对领导者的转向策略做出最优响应。最后,为研究跟随者之间追求不同目标导致不合作时的控制效果,设计了非合作Nash博弈与Stackelberg博弈相结合的混合博弈为对比方法,通过实时硬件在环测试验证并对比了2种方法。结果表明:针对不同风格的驾驶人,所设计的方法可以保证遭遇执行器卡死失效车辆的稳定性。与不合作的情况相比,2种不同风格的驾驶人驾驶的车辆在底盘子系统合作时,车辆稳定性分别提升了54.62%和53.78%,驾驶人工作负荷分别降低了31.79%和36.07%。
