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1.
针对复杂动态环境下无人飞行器的动态障碍规避问题,基于合理假设建立了无人飞行器和动态障碍的运动学模型,并综合考虑无人飞行器飞行过程中的终端约束、控制输入约束、安全避障约束等,以能量最少为性能指标构建动态避障问题数学描述。之后,针对终端约束和控制输入约束,依据优化模型预测静态规划算法(OMPSP)生成初始轨迹;针对动态避障问题的不等式约束,引入松弛变量并结合滑模变结构控制方法设计松弛变量动力学,实现对一个、多个或同时多个动态障碍的安全规避;最后,依据有限时间微分动态规划(RHDDP)算法进行轨迹优化,获得满足上述各种约束并能规避动态障碍的近似最优轨迹。 相似文献
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随着我国航天事业的蓬勃发展,运载火箭发射要求也呈现多样化。北斗卫星导航系统是我国自行研制的全球卫星导航系统,经历三步跨越式发展,目前已经全面建成。CZ-3A系列火箭承担了北斗工程全部发射任务,该工程对火箭倾斜同步转移轨道(IGTO)、中圆转移轨道(MTO)、地球同步转移轨道(GTO)新类型轨道要求。介绍了该类轨道特点,讨论了火箭发射方案、发射轨道设计及高空风双向补偿方法。实际飞行考核充分证明了发射轨道设计的正确性,设计方法确保了北斗工程全部发射任务取得圆满成功,为北斗工程顺利实施奠定了基础。 相似文献
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《中国航空学报》2020,33(11):2907-2920
This paper investigates a time-varying anti-disturbance formation problem for a group of quadrotor aircrafts with time-varying uncertainties and a directed interaction topology. A novel Finite-Time Convergent Extended State Observer (FTCESO) based fully-distributed formation control scheme is proposed to enhance the disturbance rejection and the formation tracking performances for networked quadrotors. By adopting the hierarchical control strategy, the multi-quadrotor system is separated into two subsystems: the outer-loop cooperative subsystem and the inner-loop attitude subsystem. In the outer-loop subsystem, with the estimation of disturbing forces and uncertain dynamics from FTCESOs, an adaptive consensus theory based cooperative controller is exploited to ensure the multiple quadrotors form and maintain a time-varying pattern relying only on the positions of the neighboring aircrafts. In the inner-loop subsystem, the desired attitude generated by the cooperative control law is stably tracked under a FTCESO-based attitude controller in a finite time. Based on a detailed algorithm to specify the cooperative control protocol, the feasibility condition to achieve the time-varying anti-disturbance formation tracking is derived and the rigorous analysis of the whole closed-loop multi-quadrotor system is given. Some numerical examples are conducted to intuitively demonstrate the effectiveness and the improvements of the proposed control framework. 相似文献
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《中国航空学报》2020,33(10):2716-2727
In this paper, an Unmanned Aerial Vehicle (UAV) enabled Mobile Edge Computing (MEC) system is studied, in which UAV acts as server to offer computing offloading service to the Mobile Users (MUs) with limited computing capability and energy budget. We aim to minimize the total energy consumption of MUs by jointly optimizing the bit allocation for uplink, computing at the UAV and downlink, along with the UAV trajectory in a unified framework. To this end, a trajectory constraint model is employed to avoid sudden changes of velocity and acceleration during flying. Due to high-order information in use, we lead to a more reasonable nonconvex optimization problem than prior arts. An Alternating Direction Method of Multipliers (ADMM) method is introduced to solve the optimization problem, which is decomposed into a set of easy sub-problems, to meet the requirement on the efficiency in edge computing. Numerical results demonstrate that our approach leads a smoother UAV trajectory, significantly save the energy consumption for UAV during flying. 相似文献
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《中国航空学报》2020,33(12):3206-3219
Topology optimization is an effective method to obtain a lightweight structure that meets the requirements of structural strength. Whether the optimization results meet the actual needs mainly depends on the accuracy of the material properties and the boundary conditions, especially for a tiny Flapping-wing Micro Aerial Vehicle (FMAV) transmission system manufactured by 3D printing. In this paper, experimental and numerical computation efforts were undertaken to gain a reliable topology optimization method for the bottom of the transmission system. First, the constitutive behavior of the ultraviolet (UV) curable resin used in fabrication was evaluated. Second, a numerical computation model describing further verified via experiments. Topology optimization modeling considering nonlinear factors, e.g. contact, friction and collision, was presented, and the optimization results were verified by both dynamic simulation and experiments. Finally, detailed discussions on different load cases and constraints were presented to clarify their effect on the optimization. Our methods and results presented in this paper may shed light on the lightweight design of a FMAV. 相似文献
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采用放大试验规模(处理量1 m3/h)的H2O2(过氧化氢)/UV(紫外线)/O3(臭氧)氧化技术处理肼类推进剂污水,在30.0±1.6 ℃,pH=9.0±0.2的条件下,研究肼类的过氧化氢增强光解臭氧化降解。对比不同氧化技术的协同效应以及对污水降解的影响,重点考察过氧化氢、紫外线、臭氧和初始浓度等工艺参数对降解效果的影响,对氧化技术的应用进行了优化。研究结果表明:该技术可使COD去除率提高27.66%,肼类的降解速率随着过氧化氢投加量、紫外线辐射强度、O3投加速率和水质地提高而升高,随着初始质量浓度的提高而下降。在最佳工艺下,处理5 000 mg/L质量浓度的废水,处理60 min时,COD去除率分别为98.62%(偏二甲肼)、99.17%(甲基肼)、99.94%(肼)和93.25%(单推-3)。 相似文献