基于改进Q学习的IMA系统重构蓝图生成方法

重构蓝图定义了故障状态下系统软硬件资源的重新配置方案,是实现综合模块化航空电子系统重构容错的关键。提出了一种基于改进Q学习的重构蓝图生成方法,综合考虑负载均衡、重构影响、重构时间、重构降级等多优化目标,并应用模拟退火框架改进探索策略,提高了传统Q学习算法的收敛性能。实验结果表明,与模拟退火算法、差分进化算法、传统Q学习算法相比,本文提出的改进Q学习算法效率更高,所生成重构蓝图质量更高。     

Design and application of an Electric Tail Rotor Drive Control (ETRDC) for helicopters with performance tests

With the development of electric helicopters’ motor technology and the widespread use of electric drive rotors, more aircraft use electric rotors to provide thrust and directional control. For a helicopter tail rotor, the wake of the main rotor influences the tail rotor’s inflow and wake. In the procedure of controlling, crosswind will also cause changes to the tail disk load. This paper describes requirements and design principles of an electric motor drive and variable pitch tail rotor system. A particular spoke-type architecture of the motor is designed, and the performance of blades is analyzed by the CFD method. The demand for simplicity of moving parts and strict constraints on the weight of a helicopter makes the design of electrical and mechanical components challenging. Different solutions have been investigated to propose an effective alternative to the mechanical actuation system. A test platform is constructed which can collect the dynamic response of the thrust control. The enhancement of the response speed due to an individual motor speed control and variable-pitch system is validated.     

航空发动机空气管路应力优化设计

针对航空发动机空气管路系统受载应力及应变过大的问题,对该系统进行3维全尺寸弹塑性分析,讨论了载荷加载过程对应力应变的影响;对应力较大部位采用结构分解方法建立优化模型,进行管路部件应力优化,获得三通结构尺寸优化结果;利用参数灵敏度分析结果选择合适的设计变量,建立系统管线优化模型,补偿热-位移载荷产生的附加应力。优化结果显示,最大总应力降低5.49%,附加载荷应力降低12.28%。验证了方法的有效性。     

基于PSO-ELM的军用飞机维修保障系统效能评估研究

维修保障系统效能评估是军用飞机精细化、规范化管理的一项重要措施,科学的维修保障系统效能评估是精细化保障的基础,是提升战斗力的保证。针对军用飞机的维修保障系统效能评估问题,在总结军用飞机维修保障系统效能评估体系的基础上,提出基于粒子群优化极限学习机算法(PSO-ELM)的维修保障系统效能评估模型;并通过实例进行验证。结果表明:该算法应用于军用飞机维修保障系统的效能评估是可行的,可为军用飞机维修保障效能评估提供借鉴。     

基于状态维修的预防性维修策略优化模型研究

基于状态的维修着眼于系统的具体运行状况,对被监测装备的真实状态进行评估,克服了维修的盲目性,可有效减少由于维修不足而引起的意外故障和由于维修过剩带来的资源浪费。提出一种基于状态的多部件系统非周期预防性维修计划的优化方法,引入"机会维修阈值"概念,优化不同维修方式转移概率的表达式,将多个维修作业按照机会维修阈值进行归并,运用马尔可夫决策过程理论,给出不同维修方式转移概率的表达式和目标函数,并进行算例分析。结果表明:提出的优化模型减少了预防性维修活动,节约了维修工时和经费,可为系统预防性维修策略决策提供参考。     

浅析民用飞机研制总体参数优化

分析了在概念设计阶段民用飞机总体设计工作内容和工作流程,并结合时下国外在用软件优缺点,构思了民用飞机总体设计参数综合优化的技术方案,包括优化设计架构、分析模型和优化算法等,为形成具有自主知识产权的民机总体设计综合分析和优化程序打下基础。     

Shaping low-thrust trajectories with thrust-handling feature

Shape-based methods are becoming popular in low-thrust trajectory optimization due to their fast computation speeds. In existing shape-based methods constraints are treated at the acceleration level but not at the thrust level. These two constraint types are not equivalent since spacecraft mass decreases over time as fuel is expended. This paper develops a shape-based method based on a Fourier series approximation that is capable of representing trajectories defined in spherical coordinates and that enforces thrust constraints. An objective function can be incorporated to minimize overall mission cost, i.e., achieve minimum $\mathrm{\Delta }V$. A representative mission from Earth to Mars is studied. The proposed Fourier series technique is demonstrated capable of generating feasible and near-optimal trajectories. These attributes can facilitate future low-thrust mission designs where different trajectory alternatives must be rapidly constructed and evaluated.     

Reliability-based trajectory optimization using nonintrusive polynomial chaos for Mars entry mission

This paper presents the reliability-based sequential optimization (RBSO) method to settle the trajectory optimization problem with parametric uncertainties in entry dynamics for Mars entry mission. First, the deterministic entry trajectory optimization model is reviewed, and then the reliability-based optimization model is formulated. In addition, the modified sequential optimization method, in which the nonintrusive polynomial chaos expansion (PCE) method and the most probable point (MPP) searching method are employed, is proposed to solve the reliability-based optimization problem efficiently. The nonintrusive PCE method contributes to the transformation between the stochastic optimization (SO) and the deterministic optimization (DO) and to the approximation of trajectory solution efficiently. The MPP method, which is used for assessing the reliability of constraints satisfaction only up to the necessary level, is employed to further improve the computational efficiency. The cycle including SO, reliability assessment and constraints update is repeated in the RBSO until the reliability requirements of constraints satisfaction are satisfied. Finally, the RBSO is compared with the traditional DO and the traditional sequential optimization based on Monte Carlo (MC) simulation in a specific Mars entry mission to demonstrate the effectiveness and the efficiency of the proposed method.     

基于故障行为的惯导产品贮存寿命试验设计

以典型惯导产品加速度计贮存寿命评估为例,提出了一种基于故障行为模型的加速退化试验设计方法,解决了缺乏预试验数据情况下试验应力水平设计的问题。在通过对产品特性和主机理分析基础上,确定表征产品贮存寿命特征参数及试验应力,构建了考虑材料等分散性的加速度计故障行为模型,用以描述参数加速时变规律的特性。在试验应力最高水平确定的情况下,基于给定置信度和故障行为模型,以高应力水平下退化量的置信下限与低应力水平下退化量的置信上限不交叉为原则,采用基于仿真的加速退化试验设计方法,优化确定低应力和中间应力水平,从而设计给出试验剖面,并给出了加速退化试验方案优选流程,最终从备选方案集中确定加速度计试验最优方案。通过实际案例分析,验证了该方法的有效性。      

多模函数优化的改进花朵授粉算法

为了探讨花朵授粉算法（FPA）在解算多模函数优化问题中存在的不足,通过定义种群多样性及差异性指标,定性分析了FPA在多模复杂函数优化中的寻优缺点。基于模拟退火思想优化全局授粉过程,并利用Nelder-Mead单纯形搜索技术对花朵局部授粉进行重构,提出一种新的花朵授粉寻优架构。仿真结果表明,相对于基本的FPA、布谷鸟算法、萤火虫算法,改进花朵授粉算法能够有效避免陷入局部最优,具备优异的全局勘探和局部开采能力,对多模优化问题具有一定优势。