地球静止卫星电推进轨道保持策略优化

针对电推力器控制弧段长、传统轨道保持计算常用的脉冲假设不能适用的问题,提出了静止卫星轨道保持的平运动动力学模型和长期控制策略优化方法。由于轨道保持控制的是平均轨道要素,文章提出了一种基于春分点轨道要素的高精度平根外推动力学模型,与STK-HPOP模型比对高度吻合;提出了综合考虑轨道东西和南北控制的耦合控制优化模型,设计了基于序列二次规划的优化求解方法。仿真算例中研究了二推力器配置的静止卫星4周轨道保持问题,仿真结果表明,该方法可以优化长期轨道保持控制策略。     

倾转旋翼无人机过渡段纵向控制策略设计研究

针对倾转旋翼无人机过渡段纵向控制问题,基于工程化应用要求,以某型倾转旋翼无人机为研究对象,首先综述了国内倾转旋翼机的研究进展与发展趋势.其次分析了过渡段气动特性变化,根据过渡阶段的升力来源,将整个过渡过程划分为变距操纵段与气动操纵段,并根据各个阶段的前飞速度与短舱角的关系,确定倾转过渡方案.然后以操纵舵面分配方案为基础,设计了过渡过程各阶段纵向控制策略,并通过仿真验证了策略的鲁棒性,实现了对象无人机的全过程飞行.最后讨论了控制策略的优缺点,并展望了倾转旋翼无人机的发展前景及其在控制领域面临的挑战.     

Buck-Boost变换器工作模式及控制策略的研究

DC-DC变换器是实现电气系统电能变换和传输的重要设备，具有加速平稳、响应速度快的特点，但在具体使用环境下，变换器负载变化将对其性能造成极大影响。以Buck-Boost DC-DC变换器为例，分析了变换器的工作过程和工作模式，针对完全电感供能模式（CISM）和不完全电感供能模式（IISM）分别提出了对应的控制策略，系统自动判别负载变化情况，实现对输出电压的快速调节，使其始终稳定在期望值。对不同模式下的控制策略进行仿真，结果验证了提出的控制策略能很好地改善Buck-Boost型DC-DC变换器的超调量、调节时间等动态性能。     

基于主成分分析和Melkman算法的选星策略

导航定位中的选星算法是一种关键技术，用于从卫星中选择合适数量和最佳几何分布的卫星以实现最佳定位精度。针对基于二维凸包算法的选星策略在三维卫星数据降维处理中忽略垂直方向高度位置信息的问题，提出了一种基于主成分分析(PCA)和二维凸包Melkman算法的选星策略。首先，通过PCA技术将三维卫星数据投影到新的二维坐标系，新的二维数据同时保留水平平面位置信息和垂直方向高度位置信息，旨在降低维度的同时最小化信息损失。在新坐标系下，数据经过预处理后，采用二维凸包Melkman算法进行选星。实验结果显示:相较于直接投影到站心坐标系下的二维凸包选星算法，提出的选星算法不仅更准确地描述卫星的位置信息，使问题研究更加完备，还在保持相近仿真耗时的前提下，实现了较大的几何精度因子(GDOP)性能提升。     

Active and passive compliant force control of ultrasonic surface rolling process on a curved surface

Ultrasonic surface rolling process(USRP) is one of the effective mechanical surface enhancement techniques. During the USRP, unstable static force will easily do harm to the surface quality. In order to achieve a higher surface quality on the part with a curved surface, an active and passive compliant USRP system has been developed. The compliant USRP tool can produce the natural obedience deformation along the part surface. Force control based on the fuzzy Proportional-integral-derivative(PID) ...     

多约束航迹规划与跟踪制导律

研究升力式飞行器多约束航迹规划与跟踪制导律设计。考虑到飞行器为满足任务需求规定了一定范围的禁飞区，为确保滑翔段末状态处于中末制导交班窗口内设置了严格的终端约束，导致传统基于最大升阻比、平衡滑翔策略的航迹规划不适用。针对飞行器在不同空域的动力学特性，结合飞行策略预划分手段分段提出不同状态下的攻角、倾侧角剖面，通过优化剖面构型参数将无穷维轨迹优化问题转化为有限维参数规划问题，完成多约束航迹规划。最后，考虑到气动不确定性带来的轨迹偏差，利用线性二次型调节器以位移加权误差最小为优化指标完成轨迹跟踪制导律设计，实现对规划航迹的在线纠偏，并通过仿真分析验证所提方法的有效性。     

横列式双倾转旋翼机控制系统研究CSCD

针对横列式双倾转旋翼机平飞加速过渡过程中的标称速度轨迹跟踪问题,提出了通过升力占比划分过渡阶段,实现标称轨迹的工程化设计。基于经典PID理论,分别设计了各过渡阶段各通道控制律和控制参数,提出了总距余弦分配的操纵分配方法,并解决了过渡过程中严重的纵垂向耦合问题。仿真结果表明,该纵向控制策略在强干扰下仍可以实现对象飞行器的平稳过渡。     

Efficient multi-objective CMA-ES algorithm assisted by knowledge-extraction-based variable-fidelity surrogate model

To accelerate the multi-objective optimization for expensive engineering cases, a Knowledge-Extraction-based Variable-Fidelity Surrogate-assisted Covariance Matrix Adaptation Evolution Strategy(KE-VFS-CMA-ES) is presented. In the first part, the KE-VFS model is established. Firstly, the optimization is performed using the low-fidelity surrogate model to obtain the Low-Fidelity Non-Dominated Solutions(LF-NDS). Secondly, aiming to obtain the High-Fidelity(HF) sample points located in promising are...     

Optimal planning for a multi-debris active removal mission with a partial debris capture strategy

In this paper, a new mission model, called a multi-debris active removal mission with partial debris capture strategy, is proposed. The model assumes that a platform only captures part of the scheduled debris at a time and then releases these debris pieces to a disposal orbit. This process is then repeated until all of the scheduled debris is removed. A genetic algorithm with a multiparameter concatenated coding method is designed to optimize the plan of a multi-debris active removal mission wit...     

Periodic event-triggered formation control for multi-UAV systems with collision avoidance

In this paper, periodic event-triggered formation control problems with collision avoidance are studied for leader–follower multiple Unmanned Aerial Vehicles (UAVs). Firstly, based on the Artificial Potential Field (APF) method, a novel sliding manifold is proposed for controller design, which can solve the problem of collision avoidance. Then, the event-triggered strategy is applied to the distributed formation control of multi-UAV systems, where the evaluation of the event condition is continuous. In addition, the exclusion of Zeno behavior can be guaranteed by the inter-event time between two successive trigger events have a positive lower bound. Next, a periodic event-triggered mechanism is developed for formation control based on the continuous event-triggered mechanism. The periodic trigger mechanism does not need additional hardware circuits and sophisticated sensors, which can reduce the control cost. The stability of the control system is proved by the Lyapunov function method. Finally, some numerical simulations are presented to illustrate the effectiveness of the proposed control protocol.