ID 原文 译文
9154 针对一类基于李群SO(3)描述的力学系统,考虑了实际姿态位形可测但角速度不可测的情况,利用SO(3)上曲率张量、Levi-Civita联络及测地线等内蕴信息,设计了SO(3)上的Super-Twisting内蕴滑模观测器,对实际姿态位形和旋转角速度进行观测,并在其切空间内分析了所设计观测器的收敛性能。 ‭⁣⁣⁣⁣For a class based on lie group SO (3) the description of the mechanical system, considering the actual profile configuration of measurable but angular velocity unpredictable, the use of SO (3) the curvature tensor, Levi - Civita contact and geodesic intrinsic information, such as design SO (3) the Super - Twisting on the intrinsic sliding mode observer, configuration and the rotating angular velocity observations of actual posture, and in his cut space analyses the convergence of the observer is designed.
9155 最后将所设计的观测器应用在四旋翼平台并进行仿真,仿真结果表明,所设计的观测器具有较好的观测效果和较强的鲁棒性。 ‭⁣⁣⁣⁣Finally applying the observer is designed in four rotor and carry on the simulation platform, the simulation results show that the designed observer has a good effect and strong robustness. ‭⁣⁣⁣⁣
9156 针对传统的可重复使用运载器(reusable launch vehicle,RLV)末端能量管理段轨迹生成算法存在的在线规划能力有限和制导精度不够的问题,提出了一种基于内核提取协议和微分平坦理论的三维在线轨迹规划算法。 In view of the traditional reusable launch vehicles (these reusable launch vehicle, RLV) energy management path generation algorithm is at the end of the online planning ability is limited and the lack of guidance accuracy, is put forward based on the kernel extraction protocol and the theory of differential flat three-dimensional online trajectory planning algorithm.
9157 首先,推导给出了以高度为自变量、动压为状态变量的RLV三自由度运动方程组;‭ ‭First of all, the derivation is given with a high degree of state variables as independent variables, dynamic pressure as RLV three degrees of freedom motion equations;
9158 然后,利用新方程组的平坦特性,选取纵程、横程和动压为相应的平坦输出,建立了不包含微分方程的最优控制问题;‭ ‭Then, using the new system of equations, plain features ZongCheng, transverse process and dynamic pressure as the flatness of the corresponding output, does not contain the differential equation of the optimal control is established;
9159 随后,采用分段B样条参数化平坦输出,将最优控制问题离散化得到非线性规划问题;‭ Then, using piecewise b-spline parametric flat output, will get the nonlinear optimal control problem discretization programming problem;
9160 最后,采用基于序列二次规划算法的稀疏非线性优化器进行求解。 ‭Finally, the sparse based on sequential quadratic programming algorithm to solve nonlinear optimizer.
9161 仿真结果验证了该末端能量管理段在线轨迹规划算法的有效性。 The simulation results verified the end power management section of the online trajectory planning algorithm is effective.
9162 研究了多输入多输出(multiple input multiple output,MIMO)雷达中的二维波达角(direction of arrival,DOA)估计问题,并提出了一种嵌套平行阵下基于子空间的二维DOA估计算法。 Research the multiple input multiple output (multiple input multiple output, MIMO) of the radar Angle of 2-d DOA (direction of concatenated, DOA) estimation problem, and proposes a nested parallel array under the 2-d DOA estimation algorithm based on subspace.
9163 利用存在嵌套关系的双平行阵(two parallel uniform linear array,TPULA)作为收发阵列,大大增加了自由度(degree of freedom,DOF)。 ‭⁣⁣⁣⁣Using the nested relation between double parallel array (two parallel uniform linear array, TPULA) as the sending and receiving array, greatly increased the degree of freedom (DOF) degree of freedom,.