Multi-objective evolutionary design of selective triple modular redundancy systems against SEUs

To improve the reliability of spaceborne electronic systems,a fault-tolerant strategy of selective triple modular redundancy(STMR)based on multi-objective optimization and evolvable hardware(EHW)against single-event upsets(SEUs)for circuits implemented on field programmable gate arrays(FPGAs)based on static random access memory(SRAM)is presented in this paper.Various topologies of circuit with the same functionality are evolved using EHW firstly.Then the SEU-sensitive gates of each circuit are identified using signal probabilities of all the lines in it,and each circuit is hardened against SEUs by selectively applying triple modular redundancy(TMR)to these SEU-sensitive gates.Afterward,each circuit hardened has been evaluated by SEU Simulation,and the multi-objective optimization technology is introduced to optimize the area overhead and the number of functional errors of all the circuits.The proposed fault-tolerant strategy is tested on four circuits from microelectronics center of North Carolina(MCNC)benchmark suite.The experimental results show that it can generate innovative trade-off solutions to compromise between hardware resource consumption and system reliability.The maximum savings in the area overhead of the STMR circuit over the full TMR design is 58%with the same SEU immunity.     

Optimization on cooperative feed strategy for radial–axial ring rolling process of Inco718 alloy by RSM and FEM

During radial–axial ring rolling process,cooperative strategy of the radial–axial feed is critical for dimensional accuracy and thermo mechanical parameters distribution of the formed ring.In order to improve the comprehensive quality of the ring parts,response surface method(RSM) is employed for the first time to optimize the cooperative feed strategy for radial–axial ring rolling process by combining it with an improved and verified 3D coupled thermo-mechanical finite element model.The feed trajectory is put forward to describe cooperative relationship of the radial–axial feed and three variables are designed based on the feed trajectory.In order to achieve multiobjective optimization,four responses including thermo mechanical parameters distribution and rolling force are proposed.Based on the FEM results,RSM is used to establish a response model to depict the function relationship between the objective response and design variables.Through this approximate model,effects of different variables on ring rolling process are analyzed connectedly and optimal feed strategy is obtained by resorting to the optimal chart specific to a constraint condition.     

机载蒸发循环系统结构的轻量化设计

机械结构作为机载蒸发循环系统主要的支撑件,具有较大的质量并承受来自直升机的振动冲击作用,其结构性能影响着整个系统的正常功能,在保证足够强度和刚度的前提下,对结构进行轻量化设计具有重要的理论意义和实用价值。首先,采用ANSYS软件对机载蒸发循环系统进行有限元分析;然后,借助Pro/E与Ansys Workbench之间的双向参数实时传递功能,对结构进行参数化设计,在此基础上采用灵敏度分析法获取对模型优化目标影响较大的关键尺寸参数;最后,采用多目标遗传算法对结构进行优化设计。结果表明:在满足设计要求的前提下,结构质量比原来减少了24.4%,得到了最佳结构参数,实现了轻量化目的。     

基于多目标算法的空中作战任务规划框架研究

空中作战任务规划是一项复杂的任务,随着空中作战飞行器的种类、数量及其之间交互性的增加,任务规划也变得越来越复杂。任务规划人员必须在有限的时间内制定出最优的任务分配策略。决策支持工具可以辅助任务规划人员找到最优的规划方案。介绍了设计多目标进化算法以及在空中作战任务规划领域的框架和工作流程,具体的任务包括空中打击动态目标的定位问题和情报监视侦察（ISR）任务规划。总结了这些研究的经验教训,探讨了未来可能的发展方向。     

多目标遗传算法在H_∞鲁棒控制器设计中的应用

引入了基于频域理论的H∞回路成形鲁棒设计方法对某型航空发动机进行控制器设计,对设计过程中的关键技术进行了研究。在控制器设计过程中,引入多目标遗传算法对能使系统奇异值形状满足设计要求的权函数参数进行全局寻优,有效提高了控制器的设计效率和设计的准确性。同时对传统的控制回路结构进行了改形,改善了控制器性能。最后在设计的航空发动机数控系统快速原型化实时仿真平台上进行了硬件在回路仿真,证实了所设计的改型后的H∞回路成形控制器在航空发动机控制上所具有的良好的性能。     

改进FSQP算法的涡扇发动机多变量非线性控制

涡扇发动机是一个复杂的非线性系统，用常规的多变量控制方法难以获得理想的控制效果。对FSQP(Feasible Sequential Quadratic Programming)算法进行了改进，提出了一种基于改进FSQP算法和自适应变权重线性加权法的多目标优化算法。该算法可以有效的解决涡扇发动机的多变量非线性控制问题，同时在满足控制过程中的各项约束条件的前提下，达到调节时间最短的目标。通过计算机仿真证明了该控制算法的可行性和良好的控制效果。     

基于源项法的气膜冷却涡轮叶片多目标优化

以GE-E³高压涡轮第一级气冷导叶为研究对象,通过多目标遗传算法优化气膜孔布局以降低叶片表面温度。其中采用源项法模拟全场气膜冷却效果,该方法节省计算量的同时无需对气膜孔划分网格,通过对比实验结果后认为,源项法可以较好地模拟出冷气覆盖效果如表面动量损失等。在此基础上采用多目标遗传算法NSGA-II (Nondominated Sorting Genetic Algorithm II),以气膜孔的出气角及流向位置为设计变量,以叶片表面最高温度及平均温度为优化目标。结果表明叶片表面温度分布有所改善,其中压力面优化效果要好于吸力面。      

基于灰色关联分析的微量润滑系统工艺参数优化

为解决钛合金铣削加工中微量润滑系统工艺参数优化问题,采用正交试验法以空气流量、切削液用量、切削液浓度为变量,表面粗糙度Ra和切削力为评价指标开展钛合金微量润滑铣削试验。基于灰色关联和主成分分析法对微量润滑系统工艺参数进行多目标优化,通过分析各因素对灰色关联度的影响规律,确定了最佳系统参数组合为空气流量90L/min、切削液用量15mL/h、切削液浓度70%。经验证优化后的工艺参数可有效提高工件表面质量,减小切削力,为合理选择微量润滑系统工艺参数提供了参考依据。     

Robust optimization of control command for aerospace vehicles with aerodynamic uncertainty

To reduce the design burden of Aerospace Vehicles(ASVs) control systems, this paper proposes a multi-constrained robust trajectory optimization method, which provides a good front-end input for the control system. Differ from the conventional aircraft, some control performance of ASVs is not only related to the model parameters, but also affected by the flight status.Therefore, the robust optimization method combines this characteristic of ASVs, sets the control performance as one of the optimiz...     

飞行器控制的伪线性系统方法——第二部分：方法与展望

针对第一部分提出的六类典型飞行器控制问题的共性伪线性系统模型，介绍了二阶伪线性系统的直接参数化设计方法：通过设计伪线性状态反馈控制律，可使闭环系统化为一个具有指定特征结构的二阶线性定常系统，并提供了控制系统设计中的所有自由度。另外，还以希望的闭环向量结构要求、闭环系统的干扰抑制要求和最小闭环特征值灵敏度要求为例，展示了通过综合优化设计自由度来实现控制系统的多目标设计思想。最后展望了伪线性系统理论的发展前景。