基于遗忘因子算法的飞行器颤振模态参数辨识

采用频率响应函数数据的频域多输入多输出状态空间模型,研究基于遗忘因子的输入输出数据矩阵构造机制,提高辨识算法的收敛速度;针对系统矩阵的求解问题,采用主成分分析法实现对模型参数矩阵的一致性估计,避免了奇异值分解带来的估计有偏性;算法前采用新息方差准则估计出系统的阶数,以减少计算复杂度。最后利用试飞试验数据辨识飞行器的系统参数,验证了该方法的有效性。     

基于遗传算法的参数优化在控制器设计中的应用

本文详述了遗传算法作为一种随机搜索算法在控制器设计参数优化中的应用。从遗传算法基本原理入手，结合工程实际，论述了遗传算法在PID控制器设计、鲁棒控制器设计、最优控制、系统参数辨识、模糊逻辑控制系统和神经网络控制中的应用成果。讨论了影响遗传算法的因素，并提出了改进的策略。     

用假设检验观点考虑经验因素时疲劳寿命分散系数研究

传统的疲劳寿命分散系数的理论值是基于参数估计概念得出的,由于仅利用本次产品样本试验数据而使其数值,尤其对航空宇航一类结构而言,与实际统计值相比往往偏大;考虑实际产品的继承性,从假设检验观点出发,强调充分利用以往的信息,推导了基于假设检验观点的疲劳寿命分散系数,并讨论了某些参数的影响。通过算例表明与传统的参数估计概念的分散系数相比,假设检验观点的分散系数更趋近于实际统计值。     

Longitudinal parameter identification of a small unmanned aerial vehicle based on modified particle swarm optimization

This paper describes a longitudinal parameter identification procedure for a small unmanned aerial vehicle(UAV)through modified particle swam optimization(PSO).The procedure is demonstrated using a small UAV equipped with only an micro-electro-mechanical systems(MEMS)inertial measuring element and a global positioning system(GPS)receiver to provide test information.A small UAV longitudinal parameter mathematical model is derived and the modified method is proposed based on PSO with selective particle regeneration(SRPSO).Once modified PSO is applied to the mathematical model,the simulation results show that the mathematical model is correct,and aerodynamic parameters and coefficients of the propeller can be identified accurately.Results are compared with those of PSO and SRPSO and the comparison shows that the proposed method is more robust and faster than the other methods for the longitudinal parameter identification of the small UAV.Some parameter identification results are affected slightly by noise,but the identification results are very good overall.Eventually,experimental validation is employed to test the proposed method,which demonstrates the usefulness of this method.     

用Monte Carlo法分析固体火箭发动机推力终止过程内弹道散布

用辨识方法确定了带反喷固体火箭发动机推力终止过程中的瞬变参数，视这些参数是服从正态分布的随机变量，用Ｍｏｎｔｅ ｃａｒｌｏ方法分析了推力终止过程内弹道的散布。结果显示，推力终止过程中不同时刻压力散布服从正态分布，据此求出了弹道散布的数字特征和分布函数，研究结果对带反喷管的固体火箭发动机设计有参考价值。     

固体火箭发动机参数辨识

固体火箭发动机参数辨识技术已得到广泛的应用,但由于影响辨识参数精度的因素很多,在应用中稍有不慎就会得不到合理的辨识结果。文中分析了影响辨识参数精度的因素,揭示了种种不合理的结果,提出了一些检验辨识结果可信性的方法。     

基于测量确定性或诊断性参数对剩余使用寿命的判定

在测量确定性或诊断性参数基础上,介绍了发生故障前在使用寿命的扩散分布过程中对剩余寿命评估的方法。在使用中当不能测量寿命(确定性)参数,但能测量某些诊断性参数(一个或几个),而这些参数能间接的反映了项目寿命的消耗时,那么必须进行预先研究适应于寿命(确定性)参数极限值的诊断性参数极限值,然后就能按照使用中测量的诊断性参数来预测该项目的剩余使用寿命。在这种情况下提出了剩余使用寿命预测的数学模型。     

A practical filter error method for aerodynamic parameter estimation of aircraft in turbulence

It is common for aircraft to encounter atmospheric turbulence in flight tests. Turbulence is usually modeled as stochastic process noise in the flight dynamics equations. In this paper, parameter estimation of nonlinear dynamic system with both process and measurement noise was studied, and a practical filter error method was proposed. The linearized Kalman filter of first-order approximation was used for state estimation, in which the filter gain, along with the system parameters and the initial states, constituted the parameter vector to be estimated. The unknown parameters and measurement noise covariance were estimated alternately by a relaxation iteration method, and the sensitivities of observations to unknown parameters were calculated by finite difference approximation. Some practical aspects of the method application were discussed. The proposed filter error method was validated by the flight simulation data of a research aircraft. Then, the method was applied to the flight tests of a subscale aircraft, and the aerodynamic stability and control derivatives were estimated. All the estimation results were compared with the results of the output error method to demonstrate the effectiveness of the approach. It is shown that the filter error method is superior to the output error method for flight tests in atmospheric turbulence.     

基于自适应模拟退火算法的航空电磁阀优化研究

电磁阀是组成航空发动机数字电子控制系统的重要部件,其响应的快速性是制约航空发动机数字电子控制系统性能的重要因素。根据某型航空电磁阀的设计原理构建了一种电磁阀数学模型,并使用设计参数及实际的试验、试车数据对所建成的航空电磁阀数学模型进行了验证。验证结果显示,所设计的电磁阀数学模型具有较高的动静态的精度,在此基础上,设计了一种基于自适应模拟退火算法的航空电磁阀优化方法,并对电磁阀的线圈匝数、阀芯质量、工作气隙的宽度和模型管直径等4个重要参数进行了优化。研究结果证实,相比于原设计方案,参数优化后的电磁阀开启响应时间缩短了50%,关闭响应时间缩短了45.4%。     

制导系统工具误差的自适应估计

本文研完惯性制导系统工具误差的自适应估计问题。运用自适应技术,这是解决制导精度鉴定问题的一个新的尝试,文中对仪表的误差模型给出了动态补偿,并给出了误差系数的递推估计。对模型中随机量的统计特性应用了自适应技术,并对岭回归引入了自适应估计,对滤波过程中模型的辨识及估值中偏倚的补偿,进行了讨论。