一维多级轴流压气机性能的解析优化

用一维理论对轴流压气机的初步设计作进一步的研究,导出了多级轴流压气机特性关系,建立了在给定轴向分速时最优化设计的数学模型,得到了解析关系.所得结论具有普适性,对多级轴流压气机的初步设计有一定的指导作用.     

反舰导弹目标捕捉概率的动态模拟算法

针对反舰导弹目标捕捉概率的静态模拟法所存在的问题 ,提出并推导出一种全新的方法——动态模拟算法 ,该法比静态法能更准确地模拟计算反舰导弹目标捕捉概率 ,最后分析了该算法的误差。     

通气管暴露率检查曲线及使用对策

在建立蓄电池充放电模型的基础上,计算了常规潜艇的通气管暴露率,绘制了暴露率检查曲线,并给出了检查曲线的使用功能.     

Sensor radiation interception risk control in target tracking

This paper is mainly on the problem of radiation interception risk control in sensor network for target tracking. Firstly, the sensor radiation interception risk is defined as the product of the interception probability and the cost caused by the interception. Secondly, the radiation interception probability model and cost model are established, based on which the calculation method of interception risk can be obtained. Thirdly, a sensor scheduling model of radiation risk control is established, taking the minimum interception risk as the objective function. Then the Hungarian algorithm is proposed to obtain sensor scheduling scheme. Finally, simulation experiments are mad to prove the effectiveness of the methods proposed in this paper, which shows that compared with the sensor radiation interception probability control method, the interception risk control method can keep the sensor scheduling scheme in low risk as well as protect sensors of importance in the sensor network.     

Natural gas storage valuation and optimization: A real options application

In this article, we present an algorithm for the valuation and optimal operation of natural gas storage facilities. Real options theory is used to derive nonlinear partial‐integro‐differential equations (PIDEs), the solution of which give both valuation and optimal operating strategies for these facilities. The equations are designed to incorporate a wide class of spot price models that can exhibit the same time‐dependent, mean‐reverting dynamics, and price spikes as those observed in most energy markets. Particular attention is paid to the operational characteristics of real storage units. These characteristics include working gas capacities, variable deliverability and injection rates, and cycling limitations. We illustrate the model with a numerical example of a salt cavern storage facility that clearly shows how a gas storage facility is like a financial straddle with both put and call properties. Depending on the amount of gas in storage the relative influence of the put and call components vary. © 2009 Wiley Periodicals, Inc. Naval Research Logistics 2009     

Approximating the nondominated frontiers of multi‐objective combinatorial optimization problems

Finding all nondominated vectors for multi‐objective combinatorial optimization (MOCO) problems is computationally very hard in general. We approximate the nondominated frontiers of MOCO problems by fitting smooth hypersurfaces. For a given problem, we fit the hypersurface using a single nondominated reference vector. We experiment with different types of MOCO problems and demonstrate that in all cases the fitted hypersurfaces approximate all nondominated vectors well. We discuss that such an approximation is useful to find the neighborhood of preferred regions of the nondominated vectors with very little computational effort. Further computational effort can then be spent in the identified region to find the actual nondominated vectors the decision maker will prefer. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009     

基于免疫粒子群算法的自抗扰飞行控制器设计

提出了一种基于免疫粒子群优化算法的自抗扰大包线飞行控制器设计方法.针对传统的增益调参设计方法存在的工作量巨大与设计效率低的问题,利用自抗扰控制器进行大包线飞行控制器设计,并推导了适用于该方法的飞机非线性方程.由于自抗扰控制能够动态补偿对象模型的内扰和外扰,因此在很大的飞行区域内仅需一套控制器便可,从而避免了烦琐复杂的增益调参设计过程,并用免疫粒子群优化算法对自抗扰控制器参数进行了优化研究.仿真结果表明,所设计的自抗扰控制器具有优良的控制性能,并且控制器参数在较大的包线范围内不需要改变,从而简化了大包线飞行控制器设计.     

1024位RSA算法的FPGA设计研究

改进了高基免减蒙哥马利(Montgomery)算法,使得乘法和加法的总运算量分别减少了约3%和2%。根据平行并行乘法器,设计了适用于模乘运算的一维阵列组合乘法器。基于高基蒙哥马利算法,设计并仿真了1024位密钥的RSA加/解密系统。     

基于IMM滤波器的纯方位机动目标跟踪

针对无源纯方位跟踪中目标机动的问题,提出了一种基于交互式多模型的目标跟踪算法。该算法用伪量测变换估计器(PLE)将纯方位跟踪中非线性观测模型线性化,避免了计算雅克比行列式。机动目标跟踪中通过实时调整模型匹配概率,提高了滤波器对状态变化的跟踪能力。同时该算法实时修正观测噪声协方差,消除目标远离基阵时观测噪声对目标定位的影响。最后通过与MGEKF进行比较,Monte Carlo仿真结果验证了该算法的优越性。     

基于改进遗传算法的平流层飞艇定点悬停控制(英文)

平流层飞艇定点悬停控制是飞艇应用领域的关键技术。该控制问题可以转化为非线性多目标优化问题来求解。遗传算法是解决现代非线性多目标优化问题的一种重要方法。但是基本遗传算法在解决定点悬停飞艇实际控制问题时,具有易陷入局部最优解、在遗传进化过程中随机性较强、搜索效率低下及耗时多等缺陷。通过借鉴并行遗传算法、模拟退火算法和向量评价遗传算法的基本思想,在基本遗传操作中添加切断算子和拼接算子,设计一种改进遗传算法来改善上述缺陷。仿真结果表明该方法是有效可行的。