The movement characteristics and control response of oblique wing aircraft(OWA) are highly coupled between the longitudinal and lateral-directional axes and present obvious nonlinearity. Only with the implementation o...The movement characteristics and control response of oblique wing aircraft(OWA) are highly coupled between the longitudinal and lateral-directional axes and present obvious nonlinearity. Only with the implementation of flight control systems can flying qualities be satisfied. This article investigates the dynamic modeling of an OWA and analyzes its dynamic characteristics.Furthermore, a flight control law based on model-reference dynamic inversion is designed and verified. Calculations and simulations show that OWA can be trimmed by rolling a bank angle and deflecting the triaxial control surfaces in a coordinated way. The oblique wing greatly affects longitudinal motion. The short-period mode is highly coupled between longitudinal and lateral motion,and the bank angle also occurs in phugoid mode. However, the effects of an oblique wing on lateral mode shape are relatively small. For inherent control characteristics, symmetric deflection of the horizontal tail will generate not only longitudinal motion but also a large rolling rate. Rolling moment and pitching moment caused by aileron deflection will reinforce motion coupling, but rudder deflection has relatively little effect on longitudinal motion. Closed-loop simulations demonstrate that the flight control law can achieve decoupling control for OWA and guarantee a satisfactory dynamic performance.展开更多
煤矿传感器信息系统构建对于矿井安全生产具有重要意义。传统数据控制系统信息之间相互独立,缺乏相互协作,为了提高数据传输系统的兼容性和协作性,利用物联网信息的海量性、实时性、连续性和高效访问性等特点,基于数据分配模型,设计了...煤矿传感器信息系统构建对于矿井安全生产具有重要意义。传统数据控制系统信息之间相互独立,缺乏相互协作,为了提高数据传输系统的兼容性和协作性,利用物联网信息的海量性、实时性、连续性和高效访问性等特点,基于数据分配模型,设计了自适应时域的动态信息控制算法(Adaptive Time-Domain Dynamic Information Control System Algorithm,ATDA),并开发了相应的控制系统。该系统初始化采用静态分配程序,在此基础上实时监测煤矿动态传感器数据,分析数据负载信息,利用门限函数对数据选拔并及时进行迁移,实现数据的高效分配。通过鲁西南地区某矿传感器采集的数据信息,模拟矿井数据流对系统进行评价,基于系统全时负载均衡指标LBOT(Load Balancing of Total)、系统短时负载均衡指标LBST(Load Balancing of Short Term)和数据迁移量指标DM(Data Migration)3个关键指标,对比分析了经典Bubba算法和Random算法以及ATDA算法。结果表明:在系统全时和短时均衡性方面(LBOT和LBST),ATDA与Bubba算法接近,优于Random算法,在数据迁移量DM,即通信成本方面本研究算法显著优于其他2种算法;所开发的动态信息控制系统显著降低了数据存储压力,并提高了数据调用效率。展开更多
文摘The movement characteristics and control response of oblique wing aircraft(OWA) are highly coupled between the longitudinal and lateral-directional axes and present obvious nonlinearity. Only with the implementation of flight control systems can flying qualities be satisfied. This article investigates the dynamic modeling of an OWA and analyzes its dynamic characteristics.Furthermore, a flight control law based on model-reference dynamic inversion is designed and verified. Calculations and simulations show that OWA can be trimmed by rolling a bank angle and deflecting the triaxial control surfaces in a coordinated way. The oblique wing greatly affects longitudinal motion. The short-period mode is highly coupled between longitudinal and lateral motion,and the bank angle also occurs in phugoid mode. However, the effects of an oblique wing on lateral mode shape are relatively small. For inherent control characteristics, symmetric deflection of the horizontal tail will generate not only longitudinal motion but also a large rolling rate. Rolling moment and pitching moment caused by aileron deflection will reinforce motion coupling, but rudder deflection has relatively little effect on longitudinal motion. Closed-loop simulations demonstrate that the flight control law can achieve decoupling control for OWA and guarantee a satisfactory dynamic performance.
文摘煤矿传感器信息系统构建对于矿井安全生产具有重要意义。传统数据控制系统信息之间相互独立,缺乏相互协作,为了提高数据传输系统的兼容性和协作性,利用物联网信息的海量性、实时性、连续性和高效访问性等特点,基于数据分配模型,设计了自适应时域的动态信息控制算法(Adaptive Time-Domain Dynamic Information Control System Algorithm,ATDA),并开发了相应的控制系统。该系统初始化采用静态分配程序,在此基础上实时监测煤矿动态传感器数据,分析数据负载信息,利用门限函数对数据选拔并及时进行迁移,实现数据的高效分配。通过鲁西南地区某矿传感器采集的数据信息,模拟矿井数据流对系统进行评价,基于系统全时负载均衡指标LBOT(Load Balancing of Total)、系统短时负载均衡指标LBST(Load Balancing of Short Term)和数据迁移量指标DM(Data Migration)3个关键指标,对比分析了经典Bubba算法和Random算法以及ATDA算法。结果表明:在系统全时和短时均衡性方面(LBOT和LBST),ATDA与Bubba算法接近,优于Random算法,在数据迁移量DM,即通信成本方面本研究算法显著优于其他2种算法;所开发的动态信息控制系统显著降低了数据存储压力,并提高了数据调用效率。
