为了解决振动台子结构试验加载方式复杂的问题,以主动质量驱动器(active mass driver,AMD)装置作为振动台子结构试验的加载设备,以多参量反馈控制作为基本控制算法,以容易产生底部破坏的剪切型框架结构为试验研究对象,通过理论推导、数...为了解决振动台子结构试验加载方式复杂的问题,以主动质量驱动器(active mass driver,AMD)装置作为振动台子结构试验的加载设备,以多参量反馈控制作为基本控制算法,以容易产生底部破坏的剪切型框架结构为试验研究对象,通过理论推导、数值仿真以及与PID位移控制进行对比来探讨这种试验方法的可行性、试验效果,以及试验设计的原则和方法.研究表明,多参量控制算法可以显著提高振动台子结构试验的控制精度.展开更多
Recently, virtual realities and simulations play important roles in the development of automated driving functionalities. By an appropriate abstraction, they help to design, investigate and communicate real traffic sc...Recently, virtual realities and simulations play important roles in the development of automated driving functionalities. By an appropriate abstraction, they help to design, investigate and communicate real traffic scenario complexity. Especially, for edge cases investigations of interactions between vulnerable road users (VRU) and highly automated driving functions, valid virtual models are essential for the quality of results. The aim of this study is to measure, process and integrate real human movement behaviour into a virtual test environment for highly automated vehicle functionalities. The overall system consists of a georeferenced virtual city model and a vehicle dynamics model, including probabilistic sensor descriptions. By motion capture hardware, real humanoid behaviour is applied to a virtual human avatar in the test environment. Through retargeting methods, which enable the independency of avatar and person under test (PuT) dimensions, the virtual avatar diversity is increased. To verify the biomechanical behaviour of the virtual avatars, a qualitative study is performed, which funds on a representative movement sequence. The results confirm the functionality of the used methodology and enable PuT independence control of the virtual avatars in real-time.展开更多
文摘为了解决振动台子结构试验加载方式复杂的问题,以主动质量驱动器(active mass driver,AMD)装置作为振动台子结构试验的加载设备,以多参量反馈控制作为基本控制算法,以容易产生底部破坏的剪切型框架结构为试验研究对象,通过理论推导、数值仿真以及与PID位移控制进行对比来探讨这种试验方法的可行性、试验效果,以及试验设计的原则和方法.研究表明,多参量控制算法可以显著提高振动台子结构试验的控制精度.
文摘Recently, virtual realities and simulations play important roles in the development of automated driving functionalities. By an appropriate abstraction, they help to design, investigate and communicate real traffic scenario complexity. Especially, for edge cases investigations of interactions between vulnerable road users (VRU) and highly automated driving functions, valid virtual models are essential for the quality of results. The aim of this study is to measure, process and integrate real human movement behaviour into a virtual test environment for highly automated vehicle functionalities. The overall system consists of a georeferenced virtual city model and a vehicle dynamics model, including probabilistic sensor descriptions. By motion capture hardware, real humanoid behaviour is applied to a virtual human avatar in the test environment. Through retargeting methods, which enable the independency of avatar and person under test (PuT) dimensions, the virtual avatar diversity is increased. To verify the biomechanical behaviour of the virtual avatars, a qualitative study is performed, which funds on a representative movement sequence. The results confirm the functionality of the used methodology and enable PuT independence control of the virtual avatars in real-time.
