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准确的弹道系数辨识和精确的目标状态估计是再入目标高精度跟踪与高可靠识别的关键。一方面,状态估计的误差会造成模型参数(弹道系数)的辨识风险;另一方面,模型参数的辨识偏差又会导致模型失配从而降低目标状态的估计精度。因此,需要实现再入目标的状态估计和参数辨识的联合优化。针对再入目标弹道系数未知情形,提出了一种基于期望最大化(EM)框架并采用粒子滤波(PF)平滑器实现的PF-EM联合优化算法。在E步基于粒子平滑器得到目标状态的后验平滑估计,M步采用数值优化算法更新上一次迭代的弹道系数,通过E步和M步的不断迭代,以保证状态估计和弹道系数辨识的一致性。算法仿真对比表明:所提算法的状态估计和参数辨识精度均优于传统的状态增广算法。 相似文献
304.
基于自适应IMM的高超声速飞行器轨迹预测 总被引:2,自引:2,他引:2
为了给基于预测命中点法的高超声速飞行器中制导拦截提供先验知识,提出高超声速飞行器的轨迹预测方法。首先,给出高超声速环境下与目标姿态近似线性的气动参数;其次,针对气动参数作控制量的运动模型,设计自适应交互多模型(IMM)跟踪算法,并进行性能有效性验证;然后,根据气动参数特性和目标假设机动方式,设计基于最小二乘拟合的轨迹预测方法。通过对目标轨迹进行跟踪和预测仿真,预测100 s的位置误差均小于5 km,速度误差均小于100 m/s,结果表明基于自适应IMM的轨迹预测方法对有规律机动的目标进行轨迹预测,效果良好。 相似文献
305.
针对多无人机(UAV)协同standoff跟踪问题,提出了UAV的横侧向和纵向制导律。对参考点制导(RPG)进行改进,作为UAV的横侧向制导律。然后,采用一组非线性微分方程对UAV和目标相对距离的调节过程进行建模,在此基础上证明了改进RPG的渐近稳定性,并推导了RPG参数与系统性能的关系,为RPG参数的选取提供了依据。最后,给出了UAV的纵向制导律,并分析了其渐近稳定性。仿真结果表明,改进RPG的跟踪误差和时间乘以误差绝对值积分(ITAE)指标均优于Lyapunov向量场制导(LVFG)和模型预测控制(MPC),故改进RPG具有更快的响应速度和更高的稳态精度。 相似文献
306.
随着现代战场中电子对抗的日益激烈,雷达的生存环境受到了严重的威胁。射频(RF)隐身技术是一种提高雷达及其运载平台战场生存能力的重要途径。为提高雷达射频隐身性能,针对具有MIMO探测模式的新体制雷达提出了隐身性能优化的目标跟踪算法。该算法基于射频隐身性能优化模型,通过自适应控制系统的子阵划分个数、平均发射功率、波束驻留时间以及采样周期,在满足系统跟踪性能要求的前提下优化系统射频隐身性能,其中的射频隐身性能综合考虑了截获因子及采样周期。仿真结果表明,与传统相控阵雷达相比,本文所提出的目标跟踪算法使MIMO雷达具有更好的射频隐身性能。 相似文献
307.
Motivated by the autopilot of an unmanned aerial vehicle(UAV) with a wide flight envelope span experiencing large parametric variations in the presence of uncertainties, a fuzzy adaptive tracking controller(FATC) is proposed. The controller consists of a fuzzy baseline controller and an adaptive increment, and the main highlight is that the fuzzy baseline controller and adaptation laws are both based on the fuzzy multiple Lyapunov function approach, which helps to reduce the conservatism for the large envelope and guarantees satisfactory tracking performances with strong robustness simultaneously within the whole envelope. The constraint condition of the fuzzy baseline controller is provided in the form of linear matrix inequality(LMI), and it specifies the satisfactory tracking performances in the absence of uncertainties. The adaptive increment ensures the uniformly ultimately bounded(UUB) predication errors to recover satisfactory responses in the presence of uncertainties. Simulation results show that the proposed controller helps to achieve high-accuracy tracking of airspeed and altitude desirable commands with strong robustness to uncertainties throughout the entire flight envelope. 相似文献
308.
Space robot is assembled and tested in gravity environment, and completes on-orbit service(OOS) in microgravity environment. The kinematic and dynamic characteristic of the robot will change with the variations of gravity in different working condition. Fully considering the change of kinematic and dynamic models caused by the change of gravity environment, a fuzzy adaptive robust control(FARC) strategy which is adaptive to these model variations is put forward for trajectory tracking control of space robot. A fuzzy algorithm is employed to approximate the nonlinear uncertainties in the model, adaptive laws of the parameters are constructed, and the approximation error is compensated by using a robust control algorithm. The stability of the control system is guaranteed based on the Lyapunov theory and the trajectory tracking control simulation is performed. The simulation results are compared with the proportional plus derivative(PD) controller, and the effectiveness to achieve better trajectory tracking performance under different gravity environment without changing the control parameters and the advantage of the proposed controller are verified. 相似文献
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310.
The very high accuracy of the Doppler and range measurements between the two low-flying and co-orbiting spacecraft of the
GRACE mission, which will be at the μm/sec and ≈10 μm levels respectively, requires that special procedures be applied in
the processing of these data. Parts of the existing orbit determination and gravity field parameters retrieval methods and
software must be modified in order to fully benefit from the capabilities of this mission. This is being done in the following
areas: (i) numerical integration of the equations of motion (summed form, accuracy of the predictor-corrector loop, Encke's
formulation): (ii) special inter-satellite dynamical parameterization for very short arcs; (iii) accurate solution of large
least-squares problems (normal equations vs. orthogonal decomposition of observation equations); (iv) handling the observation
equations with high accuracy. Theoretical concepts and first tests of some of the newly implemented algorithms are presented.
This revised version was published online in August 2006 with corrections to the Cover Date. 相似文献