深空环境下卫星编队飞行队形重构实时重规划

针对深空环境中卫星编队自主队形重构的机动问题,设计了队形重构过程中的实时重规划方案。在每次重规划过程中首先用Legendre伪谱法将当前时刻到终端时刻的重构问题离散化为非线性规划问题;其次,根据卫星编队飞行队形重构的特点,使用协同进化粒子群(CPSO)方法对每次重规划进行求解,该方法既避免了传统优化方法对复杂问题梯度的求解,又能在整个优化过程中保证约束条件的满足,并且能够事先为粒子群的进化提供大致方向,极大地提高了每次重规划的计算速度;最后,提出了重构过程中具体的重规划策略,以保证队形重构的顺利进行。仿真结果表明,与传统的控制方法相比,在重构过程中,该方法能够在初始给定轨迹的基础上进一步优化,可以有效降低重构过程的能量消耗,并能够避免重构过程中碰撞的发生。     

基于离散时间传递矩阵法的伞-弹系统动力学模型

采用离散时间传递矩阵法建立了伞-弹系统减速稳定段的动力学模型,回避了多体动力学传统的研究方法在伞-弹系统建模过程中存在的问题。详细给出了应用离散时间传递矩阵法建立铅垂平面内伞-弹系统模型的建模过程,推导了伞-弹系统的传递矩阵和传递方程。通过算例将建立的伞-弹系统模型和采用牛顿-欧拉法建立的伞-弹系统模型进行了对比分析,两种模型计算结果吻合度好,验证了本文模型的正确性以及离散时间传递矩阵法应用在减速伞-子导弹系统中的可行性。     

Designing method of acceleration and deceleration control schedule for variable cycle engine

Studies show that different geometries of a Variable Cycle Engine (VCE) can be adjusted during the transient stage of the engine operation to improve the engine performance. However, this improvement increases the complexity of the acceleration and deceleration control schedule. In order to resolve this problem, the Transient-state Reverse Method (TRM) is established in the present study based on the Steady-state Reverse Method (SRM) and the Virtual Power Extraction Method (VPEM). The state factors in the component-based engine performance models are replaced by variable geometry parameters to establish the TRM for a double bypass VCE. Obtained results are compared with the conventional component-based model from different aspects, including the accuracy and the convergence rate. The TRM is then employed to optimize the control schedule of a VCE. Obtained results show that the accuracy and the convergence rate of the proposed method are consistent with that of the conventional model. On the other hand, it is found that the new-model-optimized control schedules reduce the acceleration and deceleration time by 45% and 54%, respectively. Meanwhile, the surge margin of compressors, fuel–air ratio and the turbine inlet temperature maintained are within the acceptable criteria. It is concluded that the proposed TRM is a powerful method to design the acceleration and deceleration control schedule of the VCE.     

基于BP神经网络的高精度陀螺恒流源补偿方法

为了提高陀螺恒流源精度,提出一种基于BP神经网络的陀螺恒流源补偿方法.采用BP神经网络训练恒流源控制指令与恒流源输出之间的非线性映射稳态模型,以实时估计恒流源输出偏差.设计恒流源控制指令补偿判据,当输出偏差超出设定裕度时,按比例对恒流源控制指令值进行实时补偿,使得恒流源输出更接近控制目标值,以实现更优的精度.通过实物在回路仿真验证了上述方案的有效性,并通过与传统对控制指令进行分段线性标定方法相比较,显示了上述方案的恒流控制优势.     

基于PSF相关的星点定位算法

为提高非高斯分布星点定位的精度,提出了一种新的PSFC (point spread function correlation)星点定位算法,具有很好的抗噪性能和精度水平,易于工程实现.该算法利用互相关中的定义,通过确定系统所测定的PSF与星像灰度值之间的最大相似度来定位星点位置,PSF的测定是在作互相关计算之前全视场范围内可按照整像素和亚像素两种方式完成的.仿真实验结果表明：在带有噪声的星像图条件下,本文PSF相关法的定位精度最高可达到0.034像素,比质心法的精度提高1个数量级,比曲面拟合法的精度提高约20%.     

过渡状态倾转旋翼气动力模拟的高效CFD方法

为显著减少倾转旋翼过渡飞行时气动力CFD模拟的计算代价,提出并建立了适合倾转旋翼过渡状态气动特性分析的高效混合CFD方法。首先,提出了适合于过渡状态模拟的嵌套网格系统,并发展了相应的挖洞和贡献单元搜寻方法。在此基础上,结合叶素理论和动量理论建立了旋翼气动力模拟的简化虚拟桨盘模拟方法(Virtual rotor model,VBM)。为了能够分析倾转旋翼气动力的细节特性,多层运动嵌套网格系统和单指令多数据流(Single program multiple data,SPMD)并行技术被引入来建立精确的旋翼模拟方法(Real blade model,RBM)。然后,通过将VBM和RBM方法结合,构建了适合倾转旋翼过渡状态气动特性分析的高效(Hybrid blade model,HBM)方法。最后,通过对有试验值对比的悬停状态典型旋翼和7A旋翼分别验证了VBM和RBM方法的有效性。分别采用3种方法预测了过渡状态不同倾转角下旋翼的气动特性,VBM表现出最优的计算效率,能用于倾转旋翼总体气动性能的分析。HBM方法在保证流场求解精度的基础上,相对于高精度的RBM方法节省了1/3的计算时间。     

一种航天器空间机动轨道的改进形状设计方法

针对带推力约束的航天器三维空间机动轨道初始设计问题,提出了一种基于傅立叶级数展开的改进形状设计方法。首先,在柱坐标系下建立了航天器运动模型,并将基于傅立叶级数展开的形状方法推广到三维空间的机动轨道初始设计;然后,基于所得到的空间初始机动轨道,采用直接配点法进行了完整三维空间机动轨道的优化设计。仿真结果表明,提出的方法可以为带有任务约束的航天器三维空间机动轨道的优化设计提供更优的初始参数及其解析解,为空间机动轨道设计提供了新的方法。     

有磁复位绕组正激变换器的运行特征图

根据本文的解析结果,绘制有磁复位绕组正激变换器的运行特征图。该图的纵轴和横轴分别为正激变换器运行的占空比和本文定义的"正激变换器常数"。根据运行特征相同的原则,将整个运行区分为6个小区。推导并绘制了各小区的分界线,标明了各小区内变换器的运行波形。该图将这类变换器的运行特征与这2个轴所代表的参数的关系全面展示出来。     

基于Krylov子空间法的柔性航天器降阶研究

带大型柔性附件的复杂航天器,其弹性变形通常用有限单元法描述.由于有限元节点坐标数目庞大将会给动力学方程求解和控制策略的实现带来巨大负担,因此对柔性太阳电池阵的动力学模型降阶进行研究.利用单向递推组集推导带太阳电池阵的航天器的刚柔耦合动力学方程,分别采用模态截断法、模态价值分析法和Krylov子空间法对太阳电池阵进行模型降阶,比较不同降阶模型和全有限元模型的动力学仿真结果.仿真结果表明,无论是否考虑大范围运动的影响,采用Krylov方法只需要较低的自由度就可以得到和采用有限元方法完全一致的结果.说明Krylov方法能够有效地降低航天器柔性附件的自由度,提高动力学仿真的效率,便于驱动控制的实现.     

Integration of high-fidelity model of forward variable area bypass injector into zero-dimensional variable cycle engine model

Forward Variable Area Bypass Injector (FVABI) is one of key components which contributes to modulate the cycle parameters of Variable Cycle Engine (VCE) under various operation conditions. The modeling method of zero-dimensional FVABI was reviewed and its deficiency was analyzed based on FVABI flow characteristic. In order to improve the accuracy of VCE performance simulation, the high-fidelity modeling method of FVABI was developed based on its working characteristics. Then it was coupled with the zero-dimensional VCE model and the multi-level VCE model was built. The results indicate that the geometric and aerodynamic parameters can affect the interaction between the two airflows and the zero-dimensional FVABI model is too simple to predict the component performance accurately, especially when the FVABI inner bypass is chocked. Based on the performance curves for single bypass mode and the regression model of multi-scale support vector regression for double bypass mode, the high-fidelity model can predict FVABI performance accurately and rapidly. The integration of high-fidelity FVABI model into zero-dimensional VCE model can be done by adjusting iterative variables and balance equations. The multi-level model has good convergence and it can predict VCE performance when the FVABI inner bypass is chocked.