高频功率放大器的计算机计算和分析程序(RFPACCA)

本文介绍了高频功率放大器的计算机计算和分析程序,详细说明了高频功率放大器过压工作子程序的编制原理,同时给出了计算实例。     

变螺距螺纹加工的参数化编程

文章阐述了变螺距螺纹加工的编程方法,探讨了用宏程序实现变螺距螺纹的参数化编程,提高了编程效率,增强了程序的灵活性和通用性。     

廊坊市市区水资源规划治理研究

水资源是人类赖以生存的资源,现今,水资源已成为制约我国民经济发展的障碍,如何在充分利用水资源、保护水资源的基础上发展经济,是实现可持续发展的重要条件。本文通过对废水排放量和规划用水量的预测,对廊坊市未来的水资源利用规划提出建议,实现可持续发展。     

Time-optimal trajectory planning for underactuated spacecraft using a hybrid particle swarm optimization algorithm

A hybrid algorithm combining particle swarm optimization (PSO) algorithm with the Legendre pseudospectral method (LPM) is proposed for solving time-optimal trajectory planning problem of underactuated spacecrafts. At the beginning phase of the searching process, an initialization generator is constructed by the PSO algorithm due to its strong global searching ability and robustness to random initial values, however, PSO algorithm has a disadvantage that its convergence rate around the global optimum is slow. Then, when the change in fitness function is smaller than a predefined value, the searching algorithm is switched to the LPM to accelerate the searching process. Thus, with the obtained solutions by the PSO algorithm as a set of proper initial guesses, the hybrid algorithm can find a global optimum more quickly and accurately. 200 Monte Carlo simulations results demonstrate that the proposed hybrid PSO–LPM algorithm has greater advantages in terms of global searching capability and convergence rate than both single PSO algorithm and LPM algorithm. Moreover, the PSO–LPM algorithm is also robust to random initial values.     

基于改进DQN的复合模式在轨服务资源分配

针对开展在轨服务前的资源分配非线性多目标优化问题，构建复合服务模式下的在轨资源分配模型，基于对DQN （Deep Q-Network）方法的收敛性和稳定性改进，提出了一种在轨服务资源分配方法。该方法能够应对同时包含"一对多""多对一"的复合服务模式，并在满足预期成功率的前提下优先分配重要服务对象，兼顾资源分配综合效益和总体能耗效率，达到了以期望成功率、较少资源投入尽快完成任务的综合目标。仿真实验表明，改进DQN方法能够在任务执行前依据服务对象重要程度自主分配航天器资源，收敛速度快、训练误差低，在分配效益和总体能耗的优化方面具有明显的比较优势。     

不可微数学规划的高阶对偶性

文章首先引入了一类不可微数学规划的高阶Mond-Weir对偶模型以及高阶V-不变凸、高阶广义V-不变吐的概念。然后,在ShashiK.Mishra和Norma.G.Rueda所做工作的基础上,对于上述高阶对偶模型建立了高阶V-不变凸条件下的弱埘偶和强对偶理论。最后,进一步在更弱的高阶广义V-不变凸条件下的建立了Mond-Weir型对偶模型的弱对偶和强对偶理论。     

基于时间最短的SGKW共面打击轨道优化设计

天基对地打击动能武器(SGKW)用于从太空对地面高价值战略目标进行快速、准确的打击。针对最短打击时间要求,研究了SGKW共面打击轨道的优化设计方法。首先建立了SGKW的无量纲化平面运动模型,然后利用庞特里亚金极大值原理将时间最短共面打击轨道的最优控制问题转化为两点边值问题。由于约束条件中存在优化参数,一种基于"遗传算法 序列二次规划"的组合优化算法被用于求解未知参数。仿真结果验证了上述方法的有效性。     

IPX实时通信软件的设计与实现

分析了基于IPX(Internetwork Packet eXchange)协议的实时通信编程原理,讨论了针对某网络所开发的实时通信软件IPXSR的设计思想、特点、实现技术和调用方法.目前该软件已经通过了验收和鉴定,在实际系统中得到应用,效果良好.并能够方便地移植到其他的物理网络系统中,具有较大的实用价值.      

小卫星动平衡灵敏度分析

基于线性规划灵敏度分析技术和小卫星质心对中计算平台 ,分析质心偏差(Rc)、允许质心偏差 (Rc0 )、单个配重允许值 (wb)、卫星总质量 (Mc)对总配重 (W )的影响。分析表明 ,在允许配重位置确定的情况下 ,Rc0 ∝ 1 /Mc;Rc0 ∝wb;单个配重允许值低时 ,偏心增大显著增加总配重 ;偏心大时 ,放宽单个配重允许值可以有效降低总配重。分析结论同样适用于其他航天器和一般机械产品     

Model-free adaptive optimal design for trajectory tracking control of rocket-powered vehicle

An adaptive optimal trajectory tracking controller is presented for the Solid-Rocket-Powered Vehicle (SRPV) with uncertain nonlinear non-affine dynamics in the framework of adaptive dynamic programming. First, considering that the ascent model of the SRPV is non-affine, a model-free Single Network Adaptive Critic (SNAC) method is developed based on the dynamic neural network and the traditional SNAC method. This developed model-free SNAC method overcomes the limitation of the traditional SNAC method that can only be applied to affine systems. Then, a closed-form adaptive optimal controller is designed for the non-affine dynamics of SRPVs. This controller can adjust its parameters under different flight conditions and converge to the approximate optimal controller through online self-learning. Finally, the convergence to the approximate optimal controller is proved. The theoretical analysis of the uniformly ultimate boundedness of the tracking error is also presented. Simulation results demonstrate the effectiveness of the proposed controller.