浅析大惯量负载对机电舵系统的影响

随着导弹飞行速度的提高,弹体姿态稳定所需的操纵力矩加大,舵面气动加热效应加剧,舵面的尺寸和惯量势必增加。在电机、传动机构与控制算法确定的前提下,舵面惯量对机电舵系统具有何种影响,成为提高机电舵系统控制要求的关键问题。在搭建的电机—传动机构—负载的三质量模型基础上,从理论及仿真上进行了惯量负载对舵系统的影响分析,并在某机电舵系统上进行了试验验证,为研究大惯量负载机电舵系统提供了理论依据。     

螺旋桨桨毂疲劳试验加载方法

为解决螺旋桨桨毂疲劳试验中气动载荷、离心载荷的干涉问题,基于对桨毂所受载荷及其可测试性的分析,设计了加载方法.灵活运用全桥电路试验原理,通过载荷的动、静态标定等流程环节,形成以控制应变输出为基础的加载方法.对载荷标定过程中非标定载荷与标定载荷的相关性及其引起的加载误差进行了分析,采用应变线性叠加法减小了两种载荷的相互影响,从而实现气动载荷和离心载荷的准确施加,加载系统的误差在5%以内.      

某型航空发动机导向器的热-结构耦合分析

根据温度场分段插值方法对某型航空发动机导向器结构进行了温度场求解,并利用得到的温度场对导向器模型及1/72扇区模型展开了热-结构耦合分析,通过结构模态分析和应力计算,得到了该型涡轮导向器的振动特性和工作状态下的热应力分布情况,对计算结果进行进一步分析,验证了计算结果的合理性。     

Adaptive Fuzzy Torque Control of Passive Torque Servo Systems Based on Small Gain Theorem and Input-to-state Stability

Passive torque servo system (PTSS) simulates aerodynamic load and exerts the load on actuation system, but PTSS endures position coupling disturbance from active motion of actuation system, and this inherent disturbance is called extra torque. The most important issue for PTSS controller design is how to eliminate the influence of extra torque. Using backstepping technique, adaptive fuzzy torque control (AFTC) algorithm is proposed for PTSS in this paper, which reflects the essential characteristics of PTSS and guarantees transient tracking performance as well as final tracking accuracy. Takagi-Sugeno (T-S) fuzzy logic system is utilized to compensate parametric uncertainties and unstructured uncertainties. The output velocity of actuator identified model is introduced into AFTC aiming to eliminate extra torque. The closed-loop stability is studied using small gain theorem and the control system is proved to be semiglobally uniformly ultimately bounded. The proposed AFTC algorithm is applied to an electric load simulator (ELS), and the comparative experimental results indicate that AFTC controller is effective for PTSS.     

Robust Control for Static Loading of Electro-hydraulic Load Simulator with Friction Compensation

Load simulator is a key test equipment for aircraft actuation systems in hardware-in-the-loop-simulation. Static loading is an essential function of the load simulator and widely used in the static/dynamic stiffness test of aircraft actuation systems. The tracking performance of the static loading is studied in this paper. Firstly, the nonlinear mathematical models of the hydraulic load simulator are derived, and the feedback linearization method is employed to construct a feed-forward controller to improve the force tracking performance. Considering the effect of the friction, a LuGre model based friction compensation is synthesized, in which the unmeasurable state is estimated by a dual state observer via a controlled learning mechanism to guarantee that the estimation is bounded. The modeling errors are attenuated by a well-designed robust controller with a control accuracy measured by a design parameter. Employing the dual state observer is to capture the different effects of the unmeasured state and hence can improve the friction compensation accuracy. The tracking performance is summarized by a derived theorem. Experimental results are also obtained to verify the high performance nature of the proposed control strategy.     

航空复合材料加筋板压缩屈曲及后屈曲性能

开展了航空复合材料加筋板压缩试验,得到了加筋板的屈曲载荷、破坏载荷及破坏模式.加筋板平均屈曲载荷和平均破坏载荷分别为587.5,968.25kN,后者是前者的1.65倍,表明加筋板在压缩载荷下存在较强的后屈曲承载能力,其破坏模式主要是筋条的脱黏、断裂以及壁板的撕裂,破坏位置通常在加筋板中部.应用有限元软件得到了加筋板的屈曲载荷、破坏载荷及后屈曲损伤过程,其中屈曲载荷、破坏载荷与试验结果较吻合,误差分别为-9.97%和8.45%,验证了有限元模型的有效性.研究了加筋板纤维和基体出现损伤的先后顺序,结果表明在后屈曲过程中加筋板纤维先于基体出现损伤,尤其是筋条中部纤维的损伤最为严重,加筋板破坏之前基体基本不存在损伤.      

机动速度对飞行安全影响的研究

针对因对机动速度错误理解导致的飞行事故,从澄清设计机动速度和使用机动速度概念入手,分析了两个速度制定的规章要求、需要考虑的因素、两者间的关系,以及导致误解的原因,从设计和使用角度提出了与机动速度相关的飞行安全建议。     

基频降低对火箭点火起飞动响应的影响分析

为了分析有效载荷基频降低对火箭发射时箭体的动响应的影响规律,将不同的有效载荷基频引入到运载火箭纵向有限元模型中,通过改变有效载荷基频,计算箭体在发射阶段受到冲击载荷时的瞬态动力学响应,并找出有效载荷以及星箭界面处随发动机推力变化的加速度、单元力等响应时程的变化规律.结果表明：有效载荷基频降低对发射时箭体的动响应有一定影响,有效载荷位置的加速度响应受到的影响较为明显,有一定程度地增加,其对星箭界面处载荷的影响则较小.     

过载表安装在减振仪表板上的指示特性

分析、计算了过载表安装在减振仪表板上所引起的原理误差,指出这项误差一般很小,实际上并不构成问题,说明过载表的这种安装方式是允许的。     

一种对飞行参数选取的自适应方法

飞参数据的典型选取问题是单机寿命监控以及飞行品质分析中压缩数据的储存空间关键。针对飞参数据的特征,提出了一种基于ELM极限学习机的飞参数据选取的模型。利用极限学习机ELM神经网络、文化基因算法MAS优化的方式,克服了算法中存在早熟收敛和局部极小的问题。实现了对飞机不同部位载荷自适应选取不同飞行参数的效果,有效获得评估出飞参数据的重要度。验证结果表明,优化后的ELM-M模型比传统选取飞参模型的精度得到了极大提高,泛化能力增强,说明了方法的可行性、有效性。