基于混沌差分进化算法的飞机等效系统拟配研究

提出了基于Tent映射的混沌差分进化算法。以某飞机纵向短周期系统为例,首次研究了基于混沌差分进化算法的飞机等效系统的拟配,克服了一些传统的拟配算法存在的一些缺点。仿真结果表明,基于混沌差分进化算法拟配得到的等效系统满足等效系统拟配的各项要求和一级飞行品质的要求,取得了更好的拟配效果。证明该算法在飞机等效系统拟配中的有效性和高效性。

Abstract：

Chaotic differential evolution algorithm based on Tent map was introduced. Taking aircraft longitudinal short period system as an example,the analog-matching of the aircraft longitudinal equivalent system based on chaotic differential evolution algorithm was studied firstly and overcome the disadvantages of the conventional algorithms in the analog-matching of equivalent system. The simulation results show that the equivalent system by chaotic differential evolution algorithm is satisfied the various requirements in the analog-matching of equivalent system and the requirement of level 1 flight qualities,and has obtained better analog-matching results. The usefulness and high effectiveness of the chaotic differential evolution algorithm in the analog-matching of aircraft equivalent system is proved.     

一种新的SHEPWM三电平逆变系统的仿真和实验研究

针对中点钳位型三电平逆变系统SHEPWM开关角度的求解问题,提出了基于混沌蚁群算法的三电平中点钳位型逆变系统的SHEPWM优化方法.蚁群算法在求解SHEPWM非线性超越方程组时不需要求解方程特定的初值,而变尺度混沌算子融合到蚁群算法之中,可以有效防止算法陷入局部最优解,提高计算精度.仿真和实验结果证明了基于混沌蚁群算法的三电平NPC逆变系统消谐模型的有效性.     

Periodic performance of the chaotic spreadspectrum sequence on finite precision

It is well known that the periodic performance of spread spectrum sequence heavily affects the correlative and secure characteristics of communication systems. The chaotic binary sequence is paid more and more attention since it is one kind of applicable spread spectrum sequences. However, there are unavoidable short cyclic problems for chaotic binary sequences in finite precision. The chaotic binary sequence generating methods are studied first. Then the short cyclic behavior of the chaotic sequences is analyzed in detail, which are generated by quantification approaches with finite word-length. At the same time, a chaotic similar function is defined for presenting the cyclic characteristics of the sequences. Based on these efforts, an improved method with scrambling control for generating chaotic binary sequences is proposed. To quantitatively describe the improvement of periodic performance of the sequences, an orthogonal estimator is also defined. Some simulating results are provided. From the theoretical deduction and the experimental results, it is concluded that the proposed method can effectively increase the period and raise the complexity of the chaotic sequences to some extent.     

一种在未知噪声下的快速波达方向估计方法

提出了一种基于传播算子方法的波达方向估计（direction of arrival, DOA）算法,和传统的子空间方法相比,该方法不需要进行矩阵特征分解,有效降低了运算复杂度,同时它对相干信源有更高的分辨率。另外,传统的传播算子方法只在噪声协方差矩阵已知并且信噪比（signal-to-noise ratio, SNR）较高的情况下才有很好的分辨率,而本方法在未知相关噪声场中也能够保持非常高的精度。最后,引入了基于混沌优化思想的谱峰搜索算法,进一步减少了算法运算时间,并通过仿真实验验证了文中结论。     

基于非线性输入控制实现受扰混沌系统同步

针对一类受扰混沌系统的同步控制,采用具有扇区非线性输入的自适应滑膜变结构控制器,设计了相应的控制律和自适应律。在该控制器的作用下,实现了驱动系统和响应系统的同步控制,且不受扇区非线性输入、参数失配及外部干扰的影响,具有有很强的鲁棒性。所设计的控制策略简单,易于实现,而且没有强加在系统上的限制条件,因此应用范围较广。理论分析和数值仿真证明了该方法的有效性。     

基于CCPSO及PP模型的洪灾评估方法及其仿真应用

以求解洪水灾情评估问题为背景,针对洪灾评估模型参数难以优化这一问题,研究了一种混沌文化粒子群算法(CCPSO)。该算法将PSO纳入文化算法的框架,并在算法中引入局部遍历搜索性能较强的混沌搜索,组成基于PSO的群体空间以及基于混沌优化的信念空间,通过两个种群的独立演化及信息交流来提升算法的全局寻优能力。典型的测试函数的测试结果表明,CCPSO可以有效克服PSO存在的早熟收敛问题,全局收敛能力较PSO有较大提高。同时,为提高洪水灾情评估的灾情分辨率,提出一种基于CCPSO及投影寻踪模型的洪灾评估方法,该方法采用一种修正Logistic曲线来建立洪灾评估的投影寻踪模型,并使用CCPSO来优化投影指标函数以及模型参数。仿真应用结果验证了该方法的合理性及有效性。     

改进差分进化算法求解化工间歇与连续混合生产过程调度问题

采用统一时间离散化方法,用改进的差分进化算法求解带有限中间存储的连续生产过程和间歇生产过程混合的化工生产调度问题.提出随机产生符合容量约束的任务队列组成染色体的新的编码方式,采用块交叉和块变异进化操作. 为了提高算法全局收敛能力,该文对算法的选择操作进行了改进,并通过Logisic混沌映射方法获得交叉算子CR的取值. 最后,通过化工算例仿真来说明模型和算法的有效性.     

Closed circle DNA algorithm of change positive-weighted Hamilton circuit problem

Chain length of closed circle DNA is equal. The same closed circle DNA's position corresponds to different recognition sequence, and the same recognition sequence corresponds to different foreign DNA segment, so closed circle DNA computing model is generalized. For change positive-weighted Hamilton circuit problem, closed circle DNA algorithm is put forward. First, three groups of DNA encoding are encoded for all arcs, and deck groups are designed for all vertices. All possible solutions axe composed. Then, the feasible solutions axe filtered out by using group detect experiment, and the optimization solutions are obtained by using group insert experiment and electrophoresis experiment. Finally, all optimization solutions are found by using detect experiment. Complexity of algorithm is concluded and validity of DNA algorithm is explained by an example. Three dominances of the closed circle DNA algorithm are analyzed, and characteristics and dominances of group delete experiment axe discussed.     

基于小波包与Elman神经网络的整流电路故障诊断

引入了一种针对电励磁双凸极发电机的整流电路故障的小波和Elman神经网络相结合的诊断方法.根据整流电压波形的畸变规律,将2个以内的二极管故障分为7类共计22种故障元.选用Daubechies小波作为小波基,对实测的整流电压进行小波包分析,利用小波系数,在各个频带上进行小波信号重构.提取全频带能量特征值,并以此构造故障模式向量作为神经网络的输入,实现了故障的分类和定位.以一台840W、12/8极的电励磁双凸极发电机为实验样机,通过采集大量故障信号并进行信号处理,以故障特征值的容差范围作为误差判别标准,力求诊断误差最小化.实验结果表明,该方法对被分析信号的频率波动和幅值变化均具有良好的鲁棒性,是一种有效的故障诊断方法,具有较高的故障诊断正确率.     

基于虚拟样机的装备原理示教系统研究

目前研制开发的训练模拟器,一般只是侧重操作训练,没有将工作原理与操作实时、有效地结合起来,为了解决这一问题,引入虚拟样机技术,设计了基于虚拟样机的装备原理示教系统.首先对装备原理示教系统需要实现的功能进行了分析研究,确定了设计内容;然后提出了基于虚拟样机的系统体系结构,给出了整体设计方案;最后使用HLA技术完成虚拟样机中仿真电路的设计:选用MATLAB/Sinulink创建仿真模型,将Simulink模型转化成HLA联邦成员后,调用M(A)KRTI提供的HLA建模服务,在Visual C++中设计仿真电路.