飞/推综合控制模式亚声速半物理仿真试验

飞/推综合控制考虑飞机和发动机之间的性能耦合，彼此进行信息的综合，从整体最优的设计出发，充分发挥飞机和发动机的性能潜力，提高飞机性能。为了验证飞/推综合控制模式的性能效益，提出并开展了该控制模式在亚音速下的半物理仿真试验的研究，结果表明：在平飞加速工况下，采用最大推力模式，可提高发动机推力约9％；在亚音速巡航时，采用最小油耗模式，可节省单位油耗约1．5％。     

旋转盘腔冷却问题的工程评价

对涡轮旋转盘腔的流动与换热问题,可以采用阻力评价、换热评价和温度分布评价三种评价指标构成工程评价体系。前者决定了全系统的阻力损失的大小,后两者表征了相对冷却效果和热应力水平的高低。应用该评价体系对某型发动机的实际涡轮盘腔冷却结构进行了评价,以实验方法研究了旋转雷诺数、冷气雷诺数、哥拉晓夫数和三种评价指标间的函数关系,为涡轮盘腔的冷却系统优化设计提供了优化目标。      

数控机床电主轴系统中电机技术的优化

伴随着高速、高效、高精加工技术的飞速发展，电主轴产品得到了极为广泛的应用，课题分别以转速和转矩为核心要素对电机与驱动相关技术进行了分析，为不同应用场合电主轴产品的电机与驱动设计方案给予较为准确的评价和指导。     

智能结构压电执行器位置优化的模态力准则

基于模态空间控制理论与点压电执行器的Ｅｕｌｅｒ－Ｂｅｒｎｏｕｌｌｉ点力模型,推导得出了柔性杆梁结构上的点压电执行器所产生的模态控制力与压电片位置处的模态应变成正比的结论。由此提出了点压电执行器置于各阶模态应变的最大值处的最大模态力位置优化准则,计算机仿真结果证明了以上准则的有效性。     

Optimization of fault-tolerant thruster configurations for satellite control

The fault tolerance of spacecraft actuators significantly affects the reliability of satellites and the likelihood of successful missions. To enhance the fault tolerance of the actuators, this study derives optimal fault-tolerant configurations of fixed thrusters that maximize the controllability of a fully-actuated or underactuated satellite. The proposed method optimizes thrust and torque directions generated by the thrusters. Thus a cost function in terms of the thruster locations and directions is defined as the summation of the generated control forces and torques with respect to the body-fixed frame. The optimal configuration is obtained by the successive use of an energy potential method that is motivated by Thomson’s problem. Some numerical examples are provided that show the effectiveness of the proposed formulation and optimization method.     

Aeroacoustic and aerodynamic optimization of propeller blades

It is of great significance to develop a high-efficiency and low-noise propeller optimization method for new-generation propeller aircraft design. Coupled with free form deformation method, dynamic mesh interpolation technology, optimization algorithm, surrogate model, aerodynamic calculation and aeroacoustic prediction model module, the integrated aerodynamic and aeroacoustic design method of propeller is built. The optimization design for the six-blade propeller is carried out. The non-reduction in efficiency, thrust coefficient and the minimum of aerodynamic noise is treated as the optimization design objective. The spatial vorticity distribution of the propeller before and after the design is also analyzed by using unsteady computational fluid dynamics method. The results show that the optimized propeller can effectively reduce the aerodynamic noise level. The maximum total sound pressure level can be reduced by 5 dB without reducing its aerodynamic performance. The developed method has good application potential in low-noise optimization design of propeller and other rotating machinery.     

基于CPS的特殊阵列式元件配装

随着某些特殊阵列式器件精度要求的提高,其中单个元件的细小差异将对阵列整体性能带来极大的影响,使元件安装时不再具有互换性,因此需针对元件具体参数信息调整阵列分布.传统的生产方式,需通过手册查阅零件信息,不断的调试、组装,其过程过度依赖工人经验,错误率高,难以实现最优化配装.为此,提出了一种基于赛博物理系统(Cyber-Physical Systems,CPS)的阵列式器件配装辅助系统,将物理空间与信息空间相融合,使阵列式器件配装更加自动化和智能化,极大地提高了安装效率,降低了错误率.     

Optimization and design of an aircraft's morphing wing-tip demonstrator for drag reduction at low speeds,Part Ⅱ-Experimental validation using Infra-Red transition measurement from Wind Tunnel tests

In the present paper, an ‘in-house' genetic algorithm was numerically and experimentally validated. The genetic algorithm was applied to an optimization problem for improving the aerodynamic performances of an aircraft wing tip through upper surface morphing. The optimization was performed for 16 flight cases expressed in terms of various combinations of speeds, angles of attack and aileron deflections. The displacements resulted from the optimization were used during the wind tunnel tests of the wing tip demonstrator for the actuators control to change the upper surface shape of the wing. The results of the optimization of the flow behavior for the airfoil morphing upper-surface problem were validated with wind tunnel experimental transition results obtained with infra-red Thermography on the wing-tip demonstrator. The validation proved that the 2D numerical optimization using the ‘in-house' genetic algorithm was an appropriate tool in improving various aspects of a wing's aerodynamic performances.     

Two-phase framework for near-optimal multi-target Lambert rendezvous

This paper proposes a two-phase framework to obtain a near-optimal solution of multi-target Lambert rendezvous problem. The objective of the problem is to determine the minimum-cost rendezvous sequence and trajectories to visit a given set of targets within a maximum mission duration. The first phase solves a series of single-target rendezvous problems for all departure-arrival object pairs to generate the elementary solutions, which provides candidate rendezvous trajectories. The second phase formulates a variant of traveling salesman problem (TSP) using the elementary solutions prepared in the first phase and determines the final rendezvous sequence and trajectories of the multi-target rendezvous problem. The validity of the proposed optimization framework is demonstrated through an asteroid exploration case study.