飞行模拟转台高精度数字重复控制器的设计

从工程的角度讨论了离散重复控制系统的设计,所提出的重复控制方法可保证速度跟踪误差快速收敛为零。在重复控制器中采用了高阶低通滤波器和动态补偿器,改善了跟踪精度,保证了系统的稳定性,减少了周期性扰动误差。将所提出的方法应用于飞行模拟转台伺服系统的速度控制中,仿真结果表明,针对周期指令信号和周期干扰信号可保证较高的跟踪精度和较强的稳定性和鲁棒性。     

基于自适应反推滑模控制的虚拟转台样机研究

针对传统转台串行设计模式存在的缺陷，基于虚拟样机技术、自适应滑模控制器与有限元等技术作为支持，提出了虚拟仿真转台的系统构想。其中针对实际转台系统的未知非线性、外界干扰和参数摄动等不确定因素的影响，设计并实现一类自适应滑模控制器进行虚拟转台系统的实时控制。同时，通过ADAMS软件平台实现了虚拟转台样机系统及其功能，并将自适应滑模控制器调入虚拟转台样机，最终实现机械模型和控制方法进行联合仿真分析，获得最终虚拟转台的特性。仿真结果表明，虚拟转台样机的设计与实现大大提高了转台的设计效率，为后续转台的控制系统渊试提供强大的技术支持。     

大摩擦情况下三轴飞行模拟转台QFT鲁棒控制器的设计

三轴飞行模拟转台是用于飞行控制系统半实物仿真的高性能位置跟踪和速度跟踪的一个重要设备。摩擦力和不确定性是三轴飞行模拟转台伺服系统的主要特性。在基于转台的动态和静态非线性Stribeck摩擦模型描述的基础上 ,考虑转台伺服系统的实际不确定性 ,设计了QFT鲁棒控制器 ,并给出了仿真和实时控制效果。     

基于神经网络自适应稳定PID控制方法的研究

经典的基于对象精确数学模型的PID控制方法的自适应性较差,难以适应具有非线性、时变不确定性的被控对象.神经网络控制算法的稳定性又受到迭代初值的影响,且算法复杂.为此提出了一种基于RBF神经网络的、结构简单的、稳定的PID直接自适应控制方法.讨论了控制器参数迭代初值选取的基本原则,并给出了在保证系统稳定性前提下参数的迭代算法.仿真研究结果表明,该方法的鲁棒性和跟踪性能均优于经典PID方法.      

Astrobiology through the ages of Mars: the study of terrestrial analogues to understand the habitability of Mars

Mars has undergone three main climatic stages throughout its geological history, beginning with a water-rich epoch, followed by a cold and semi-arid era, and transitioning into present-day arid and very cold desert conditions. These global climatic eras also represent three different stages of planetary habitability: an early, potentially habitable stage when the basic requisites for life as we know it were present (liquid water and energy); an intermediate extreme stage, when liquid solutions became scarce or very challenging for life; and the most recent stage during which conditions on the surface have been largely uninhabitable, except perhaps in some isolated niches. Our understanding of the evolution of Mars is now sufficient to assign specific terrestrial environments to each of these periods. Through the study of Mars terrestrial analogues, we have assessed and constrained the habitability conditions for each of these stages, the geochemistry of the surface, and the likelihood for the preservation of organic and inorganic biosignatures. The study of these analog environments provides important information to better understand past and current mission results as well as to support the design and selection of instruments and the planning for future exploratory missions to Mars.