MIDACO software performance on interplanetary trajectory benchmarks

A numerical study of the MIDACO optimization software on the well known GTOP benchmark set, published by the European Space Agency (ESA), is presented. The GTOP database provides trajectory models of real-world interplanetary space missions such as Cassini, Messenger or Rosetta. The trajectory models are formulated as constrained nonlinear optimization problems and are known to be difficult to solve.     

基于SP-ABC算法的数控铣削参数优化

针对铣削加工中成本最低的优化问题,采用一种改进的人工蜂群(SP-ABC)算法对铣削参数进行优化.在基本ABC算法的基础上,嵌入粒子群(PSO)算法,以提高算法的局部寻优能力.此外,不同于传统的单工序优化,建立的优化目标模型,在考虑实际生产过程中的各种约束条件下,可同时对粗、精两个阶段多道工序同步进行优化.计算机仿真结果表明,相较其他的基本算法,该算法能够找到更优的铣削参数组合,从而实现铣削加工过程的成本最低化.     

A novel biased proportional navigation guidance law for close approach phase

A novel biased proportional navigation guidance (BPNG) law is proposed for the close approach phase, which aims to make the spacecraft rendezvous with the target in specific relative range and direction. Firstly, in order to describe the special guidance requirements, the concept of zero effort miss vector is proposed and the dangerous area where there exists collision risk for safety consideration is defined. Secondly, the BPNG, which decouples the range control and direc-tion control, is designed in the line-of-sight (LOS) rotation coordinate system. The theoretical anal-ysis proves that BPNG meets guidance requirements quite well. Thirdly, for the consideration of fuel consumption, the optimal biased proportional navigation guidance (OBPNG) law is derived by solving the Schwartz inequality. Finally, simulation results show that BPNG is effective for the close approach with the ability of evading the dangerous area and OBPNG consumes less fuel compared with BPNG.     

Hypersonic reentry trajectory planning by using hybrid fractional-order particle swarm optimization and gravitational search algorithm

This paper proposes a novel hybrid algorithm called Fractional-order Particle Swarm optimization Gravitational Search Algorithm (FPSOGSA) and applies it to the trajectory planning of the hypersonic lifting reentry flight vehicles. The proposed method is used to calculate the control profiles to achieve the two objectives, namely a smoother trajectory and enforcement of the path constraints with terminal accuracy. The smoothness of the trajectory is achieved by scheduling the bank angle with the aid of a modified scheme known as a Quasi-Equilibrium Glide (QEG) scheme. The aerodynamic load factor and the dynamic pressure path constraints are enforced by further planning of the bank angle with the help of a constraint enforcement scheme. The maximum heating rate path constraint is enforced through the angle of attack parameterization. The Common Aero Vehicle (CAV) flight vehicle is used for the simulation purpose to test and compare the proposed method with that of the standard Particle Swarm Optimization (PSO) method and the standard Gravitational Search Algorithm (GSA). The simulation results confirm the efficiency of the proposed FPSOGSA method over the standard PSO and the GSA methods by showing its better convergence and computation efficiency.     

含滑行时间约束的真空段弹道设计研究

由于动力系统及测控资源的约束,工程中存在着末级两次点火但滑行时间受限的运载火箭真空段弹道设计问题。基于线性引力场的假设,引入含滑行时间约束的切换条件,从而将含固定滑行时长的弹道优化问题转换成对两点边值问题的迭代求解和对运动方程的积分,并通过多个算例仿真验证了该方法的正确性和有效性。同时,研究了迭代过程中滑行段不同弹道预报方法对弹道设计的影响,结果显示较高的预报精度可以获得更优的弹道设计结果。该方法提供了一种新的弹道设计思路,在总体方案论证或初步设计阶段可以替代传统设计方法,以有效提升弹道设计效率,优化火箭方案。     

叶片磨抛机器人力/位混合控制的设计与实现

为提高航空类发动机叶片的自动化磨抛精度,减小复杂曲面叶片加工轨迹控制误差,采用基于六维力传感器的机器人力/位混合控制策略,实现机器人磨抛轨迹的在线修正。搭建以Staubli机器人和ATI六维力传感器为核心部件的叶片磨抛验证平台,通过C++开发上位机,采集磨抛过程中六维力传感器信息并进行Kalman滤波。通过示教确定机器人运动轨迹,对机器人运动轨迹与力传感器信息进行采集分析,确定基于力/位混合控制可以实现机器人运动轨迹的在线修正,为复杂曲面的叶片磨抛轨迹控制提供一种解决方案。     

High-fidelity trajectory optimization for aeroassisted vehicles using variable order pseudospectral method

In this study, the problem of time-optimal reconnaissance trajectory design for the aeroassisted vehicle is considered. Different from most works reported previously, we explore the feasibility of applying a high-order aeroassisted vehicle dynamic model to plan the optimal flight trajectory such that the gap between the simulated model and the real system can be narrowed. A highly-constrained optimal control model containing six-degree-of-freedom vehicle dynamics is established. To solve the formulated high-order trajectory planning model, a pipelined optimization strategy is illustrated. This approach is based on the variable order Radau pseudospectral method, indicating that the mesh grid used for discretizing the continuous system experiences several adaption iterations. Utilization of such a strategy can potentially smooth the flight trajectory and improve the algorithm convergence ability. Numerical simulations are reported to demonstrate some key features of the optimized flight trajectory. A number of comparative studies are also provided to verify the effectiveness of the applied method as well as the high-order trajectory planning model.     

基于响应面近似技术的平流层飞艇协同设计优化

针对平流层飞艇多学科设计优化问题,引入协同优化算法,分析基于响应面近似模型的协同优化方法CO/RSA的执行步骤和特点,并介绍响应面近似模型的构建方法;建立平流层飞艇各学科模型,并对学科间耦合关系进行分析;运用建立的气动/推进、结构、能源三个耦合子系统的学科分析模型和系统优化模型,以平流层飞艇总质量最小为优化目标,综合考虑浮重、推阻和能源平衡,采用CO/RSA方法对平流层飞艇进行设计优化.结果表明:所建立的平流层飞艇的MDO模型是合理的,CO/RSA算法应用于飞艇总体设计优化是有效的,研究结果可为平流层飞艇方案论证和方案设计提供参考.     

太阳能飞机翼肋结构拓扑优化设计

太阳能飞机翼肋结构轻薄且数量众多,其结构形式的合理性对于结构减重、机翼刚度设计等具有重要意义。基于现有太阳能飞机翼肋的结构形式,提出一种翼肋拓扑优化设计方法:首先,应用双向渐进结构优化法(BESO),以单元应力为判断指标,对太阳能飞机典型翼肋进行结构拓扑优化;其次,基于拓扑优化结果对翼肋进行结构细节设计;最后,通过有限元计算,验证翼肋的结构强度、刚度和静稳定性。通过本文方法,能够得到太阳能飞机翼肋更为合理的结构布局。     

Numerical analysis and optimization of boundary layer suction on airfoils

Numerical approach of hybrid laminar flow control(HLFC) is investigated for the suction hole with a width between 0.5 mm and 7 mm. The accuracy of Menter and Langtry’s transition model applied for simulating the flow with boundary layer suction is validated. The experiment data are compared with the computational results. The solutions show that this transition model can predict the transition position with suction control accurately. A well designed laminar airfoil is selected in the present research. For suction control with a single hole, the physical mechanism of suction control, including the impact of suction coefficient and the width and position of the suction hole on control results, is analyzed. The single hole simulation results indicate that it is favorable for transition delay and drag reduction to increase the suction coefficient and set the hole position closer to the trailing edge properly. The modified radial basis function(RBF) neural network and the modified differential evolution algorithm are used to optimize the design for suction control with three holes. The design variables are suction coefficient, hole width, hole position and hole spacing. The optimization target is to obtain the minimum drag coefficient. After optimization,the transition delay can be up to 17% and the aerodynamic drag coefficient can decrease by 12.1%.