基于采样通信的分布式多智能体系统稳定性分析与协同控制(英文)

研究了基于采样通信的分布式多智能体系统的稳定性分析与协同控制,并采用分布式状态反馈控制器来实现智能体间的协作。推导了一种线性不等式的形成定理,并将其用来分析系统的稳定性。同时提出了针对线性不等式约束优化问题的形成定理,将其用来设计相关的控制器,并给出了相关的算法。仿真实例验证了所提方法的正确性和有效性。     

凹槽火焰稳定器结构对煤油超声速燃烧的影响

采用混合分数平衡化学反应模型和离散液滴模型，研究了不同长深比和后缘倾角的凹槽在液体煤油双模态燃烧中的火焰稳定特性。结果表明，集燃料喷射、混合及火焰稳定为一体的凹槽，在所模拟的工作过程中增强了燃料与空气的混合和燃烧；并得到最优的凹槽结构；混合分数平衡化学反应模型和离散液滴模型能准确地预测煤油在双模态燃烧室内的喷雾燃烧。     

Flow Stability Model for Fan/Compressors with Annular Duct and Novel Casing Treatment

A three-dimensional compressible flow stability model is presented in this paper, which focuses on stall inception of multi-stage axial flow compressors with a finite large radius annular duct configuration for the first time. It is shown that under some assumptions, the stability equation can be obtained yielding from a group of homogeneous equations. The stability can be judged by the non-dimensional imaginary part of the resultant complex frequency eigenvalue. Further more, based on the analysis of the unsteady phenomenon caused by casing treatment, the function of casing treatment has been modeled by a wall impedance condition which is included in the stability model through the eigenvalues and the corresponding eigenfunctions of the system. Finally, some experimental investigation and two numerical evaluation cases are conducted to validate this model and emphasis is placed on numerically studying the sensitivity of the setup of different boundary conditions on the stall inception of axial flow fan/compressors. A novel casing treatment which consists of a backchamber and a perforated plate is suggested, and it is noted that the open area ratio of the casing treatment is less than 10%, and is far smaller than conventional casing treatment with open area ratio of over 50%, which could result in stall margin improvement without obvious efficiency loss of fan/compressors.     

频率域鲁棒性分析方法及其在飞控中的应用

主要研究了频率域鲁棒稳定性分析的新方法及其在收音机横侧控制系统中的应用。为了提高计算效率，基于Ｎｙｑｕｉｓｔ判据，提出了对数和鲁棒稳定性的新判据，为了简化多变量频率域鲁棒性分析和设计方法，进一步提出了递Ｎｙｑｕｉｓｔ阵对占优势判别式，使计算量大大减少，所提出的鲁棒性新判据在飞机横侧向控制中的应用表明，该方法可以得到讼人满意的结果。     

飞行控制律全包线鲁棒稳定性评估

传统的飞行控制律评估方法只能对飞行包线内的离散点进行逐点分析,对不确定性参数也只考虑了上下界,分析过程缺乏完整性和系统性。针对这些不足,研究了基于一种改进遗传算法的分析方法,该方法将评估准则转化为某个适应度函数,通过对适应度函数寻优以找到最坏情况下的不确定参数组合,在其基础上进行评估并给出评估结果或控制律修改意见。仿真结果表明,该方法能连续地研究多个不确定性参数同时摄动时的飞行包线,克服了传统方法的不足。     

某型飞机纵向平衡速度的调整

通过对影响飞机纵向平衡速度的结构特性和气动原理的分析,指出了飞机纵向平衡速度调整中存在的问题,给出了不同飞机有效调整纵向平衡速度的方法。     

Electrochemical drilling of small holes by regulating in real-time the electrolyte flowrate in multiple channels

Electrochemical drilling(ECD) provides an alternative technique for drilling multiple small holes in difficult-to-machine materials in numerous industrial applications such as for aeroengines. The value and fluctuation of electrolyte flowrate can seriously affect the machining stability and hole quality in ECD. In particular, when drilling multiple holes, the distribution and fluctuations of the electrolyte flowrate in each channel could influence the uniformity of the electrolyte flowrate among...     

Relevant experience learning: A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments

Unmanned Aerial Vehicles (UAVs) play a vital role in military warfare. In a variety of battlefield mission scenarios, UAVs are required to safely fly to designated locations without human intervention. Therefore, finding a suitable method to solve the UAV Autonomous Motion Planning (AMP) problem can improve the success rate of UAV missions to a certain extent. In recent years, many studies have used Deep Reinforcement Learning (DRL) methods to address the AMP problem and have achieved good results. From the perspective of sampling, this paper designs a sampling method with double-screening, combines it with the Deep Deterministic Policy Gradient (DDPG) algorithm, and proposes the Relevant Experience Learning-DDPG (REL-DDPG) algorithm. The REL-DDPG algorithm uses a Prioritized Experience Replay (PER) mechanism to break the correlation of continuous experiences in the experience pool, finds the experiences most similar to the current state to learn according to the theory in human education, and expands the influence of the learning process on action selection at the current state. All experiments are applied in a complex unknown simulation environment constructed based on the parameters of a real UAV. The training experiments show that REL-DDPG improves the convergence speed and the convergence result compared to the state-of-the-art DDPG algorithm, while the testing experiments show the applicability of the algorithm and investigate the performance under different parameter conditions.     

载人航天器放电调节器稳定性研究

电源系统的稳定性是保证载人航天器在轨飞行可靠安全的要素之一。文章研究了应用混合型功率调节技术的电源系统放电调节器的建模方法,获得了系统开环传递函数,进行了仿真验证,在此基础上分析了影响放电调节器稳定性的因素,表明系统中存在过大的延迟会使系统的稳定性大幅降低甚至造成不稳定,地面试验结果验证了此结论的正确性。     

考虑喷注流强分布的纵向稳定性建模与分析

喷注器流强分布是除声学阻尼装置以外使液体火箭发动机稳定工作的重要措施,通过控制喷注流强分布使推进剂的燃烧尽量远离主要振型的波腹区,减少热声耦合振荡的能量源,从而达到抑制高频振荡的效果。因此,建立喷注流强分布与稳定性之间的综合分析模型,研究流强分布的不稳定性抑制特性具有重要实际意义。针对采用自击式喷嘴器、液滴蒸发作为燃烧速率控制过程的某自燃推进剂缩尺燃烧室高频纵向燃烧不稳定问题,近似采用蒸发速率峰值区代替集中燃烧释热区,引入燃烧室三维声学控制方程以考虑多喷嘴条件下燃烧响应空间分布,建立了针对喷注器流强分布条件下的高频纵向燃烧稳定性分析模型,并对喷注流强的稳定性抑制特性进行了分析,给出了不同分布流强下燃烧室一阶纵向信号的增长率变化规律。研究表明,喷注流强分布有利于燃烧室稳定,"驼峰区"喷注孔径的增大对改善高频纵向不稳定性更为显著,"驼峰区"流强增加30%,相应的增长率降低15%。