An aero-engine life-cycle maintenance policy optimization algorithm: Reinforcement learning approach

An aero-engine maintenance policy plays a crucial role in reasonably reducing maintenance cost. An aero-engine is a type of complex equipment with long service-life. In engineering,a hybrid maintenance strategy is adopted to improve the aero-engine operational reliability. Thus,the long service-life and the hybrid maintenance strategy should be considered synchronously in aero-engine maintenance policy optimization. This paper proposes an aero-engine life-cycle maintenance policy optimization algorithm that synchronously considers the long service-life and the hybrid maintenance strategy. The reinforcement learning approach was adopted to illustrate the optimization framework, in which maintenance policy optimization was formulated as a Markov decision process. In the reinforcement learning framework, the Gauss–Seidel value iteration algorithm was adopted to optimize the maintenance policy. Compared with traditional aero-engine maintenance policy optimization methods, the long service-life and the hybrid maintenance strategy could be addressed synchronously by the proposed algorithm. Two numerical experiments and algorithm analyses were performed to illustrate the optimization algorithm in detail.     

Review of cylinder block/valve plate interface in axial piston pumps: Theoretical models,experimental investigations,and optimal design

Axial piston pumps have been widely used in aircraft hydraulic systems to supply the system with pressurized fluid. The continuous improvement of the aircraft performance has put forward the demand on aviation piston pumps for high power density, safety, and reliability. The lubricating interfaces in axial piston machines are the key design issue that greatly determines the pump performance and service life. The cylinder block/valve plate interface is one of these critical lubricating interfaces and has received considerable attention from many researchers in the last half century. This study aims to review the state‐of‐the‐art literature on the cylinder block/valve plate interface comprehensively and systematically. First, we introduce various theoretical models developed to investigate the lubrication behaviors of the interface and compare them in terms of their assumptions and limitations. Second, the experimental studies on the cylinder block/valve plate interface are presented comprehensively, where the involved test rigs are divided into three types according to their fidelity levels and measurement functionality. Third, we summarize some typical approaches of structure optimization, surface shaping, and surface strengthening, which help improve the load-carrying and anti-wear capacities of the interface under severe operating conditions. Finally, the challenges and future trends of the cylinder block/valve plate interface research are discussed briefly.     

多级备件供需状态下装备使用可用度的优化

装备通常采用三级保障体制,具有多种备件供需状态,采用马尔可夫过程建立装备使用可用度(AO)模型是一个三维具有不等式约束的非线性方程。依此模型难于直观地选定AO的设计参数。本文采用优化设计方法之一的复形法较好地解决了这个问题,在λ,μ,б确定的可行域中,获得了AO的优化解及相应的λ,μ,б数值。并用实例说明优化方法可方便的解决装备论证中参数的选取问题。     

基于GA的可靠性寿命分布参数的极大似然优化估计

基于极大似然估计法的基本原理和优化理论,建立了可靠性寿命分布参数的极大似然优化估计模型,并采用遗传算法(GA)进行求解,分析了GA在模型求解中的编码、选择策略、交叉和变异等关键步骤,以及约束条件的处理。给出了用该法估计单威布尔分布和混合威布尔分布参数的一实例。结果表明,工程上此法可有效估计可靠性寿命分布的参数,所获结果更为精确合理。     

高超声速滑翔飞行器引入段弹道优化

高超声速飞行器弹道优化设计的目的足得到高超声速飞行的控制指令，从而得到方案弹道，针对其数学模型，寻找一个作为输入的攻角规律使得弹道最优。我们将此弹道问题转化成最优控制问题，通过极大值原理得到最优弹道的一阶必要条件。我们采用遗传算法求解了此两点边值问题。首先从次优化弹道得到攻角的变化规律，然后由从次优化弹道估计出的攻角范围推导出初始伴随变量的变化范围，再用遗传算法在此范崮内优化初始伴随变量得到了伞局最优弹道和相应的初始伴随变量。通过一个实例求得了满足热流约束的最大终端速度弹道，通过比较可知优于次优化弹道，从数值计算例子还可以看到遗传算法是求解两点边值问题的一种比较好的方法。     

欠驱动刚性航天器姿态的非完整运动规划粒子群算法

研究欠驱动刚性航天器姿态的非完整运动规划问题。众所周知航天器利用三个动量飞轮可以控制其姿态和任意定位，当其中一轮失效，航天器动力学方程表现为不可控。在系统角动量为零的情况下，系统的姿态控制问题可转化为无漂移系统的运动规划问题。基于粒子群优化技术设计了欠驱动刚性航天器姿态的非完整运动规划算法。通过数值仿真，并和遗传算法进行了比较，结果表明该方法对欠驱动航天器姿态运动规划是有效的。     

采用遗传算法进行区域覆盖卫星星座优化设计

区域覆盖星座的研究具有很大的现实意义。本文建立了一种比较通用的区域覆盖星座模型，将遗传算法用于该模型，建立了一整套区域覆盖星座的优化设计办法，算例说明了该算法的有效性。这种优化设计法具有一定的理论和实用意义。     

基于改进粒子群算法的混合卫星星座优化设计

对用低轨子星座和椭圆轨道子星座组成的混合卫星星座实现不均匀覆盖进行了研究。给出了低圆轨道和椭圆轨道的设计方法和计算模型。基于对传统粒子群算法的改进,提出了一种自适应变异与非线性单纯形法综合的高效粒子群优化算法对星座进行优化设计,并给出了设计的某混合卫星星座的整体构型。分析结果表明:该法明显优于遗传算法和传统粒子群算法。     

质量矩控制飞行器的压心不确定性问题研究

为了减小压心不确定性对质量矩控制的影响,提高活动质量块对系统的控制能力,本文推导了飞行器姿态配平角与压心偏差的关系,分析了压心系数偏差对飞行器控制性能的影响,给出了压心最大容许偏差范围的解析表达式,然后针对压心偏差对飞行器的影响进行了仿真计算,并在此基础上分析了压心测量偏差对质量矩控制飞行器总体参数的要求,提出了几种减小压心不确定性对飞行器控制性能影响的结构布局优化方法。结果表明:对于静稳定导弹,将径向滑块的滑道配置在飞行器的前鼻部,根据任务指标合理地设计各滑块的偏移量等措施都可以减小压心不确定性对质量矩控制的影响。     

面向在轨靠泊加注的管路力学分析与优化设计

面向在轨伸出式靠泊加注任务,针对对接过程中加注管路因同步外伸而产生附加力的问题,提出了一种偏置椭圆螺旋构型的加注管路。首先,推导了管路的轴向刚度和应力数学表达式,通过有限元仿真和实验校验了上述两个表达式的准确性。之后,将偏置椭圆螺旋管路与其他三种适用管路在同一设计空间下分别进行了基于最小轴向刚度的构型优化设计,得到了上述四种管路各自的最优构型与最小附加力,形成了该类在轨加注螺旋管路的完整设计方法。与仿真和实验结果对比,所推导的管路轴向刚度与应力数学表达式的相对误差均小于5%,可用于该类管路的设计分析。与无偏圆螺旋管路相比,所提出的偏置椭圆螺旋管路将靠泊加注对接过程中的管路附加力降低了约83.5%,更适用于在轨靠泊加注任务。