基于ODE参数辨识的液压伺服系统灰箱建模

 针对液压伺服系统常规"白箱"建模由于参数无法精确获得导致所得模型精度不高及"黑箱"建模所得模型内部结构未知的问题,本文提出基于ODE参数辨识的液压伺服系统"灰箱"建模。首先,建立了工程上实用的系统状态空间模型, 根据系统特征确定了待辨识参数,将模型辨识问题转化为常微分方程(ODE)参数辨识问题;然后,采用正弦扫频信号作为激励信号和基于带边界约束的信赖域优化算法的初值问题方法进行参数辨识;为了和ODE参数辨识结果进行对比,本文同时采用系统的频率响应数据和最小二乘法辨识得到系统的"黑箱"传递函数模型;最后,通过大量实验验证了辨识模型的精确度。实验结果表明,本文提出的基于信赖域算法的液压伺服系统模型辨识方法可以有效处理参数的边界问题,使辨识模型既具有实际的物理意义,又与实际系统高度符合。     

含源流场流动相似参数推导及其物理意义

现有的相似参数能够较好地解决无源流动的动力学相似和热力学相似问题。然而,如果流场中存在质量、动量和能量等源项,则须引入新的相似参数来指导实验的设计。首先,在连续介质假设、斯托克斯流体假设、量热完全气体假设和单相流假设的前提下,推导出了41个相似参数;然后,将之归纳整理成9个独立的相似参数,其中,3个与源项有关;最后,讨论了它们各自的物理意义。现有的单相流相似参数均可通过9个相似参数组合而来。实际应用中,可根据具体流动情况选择这9个相似参数中的某几个进行模拟。     

双模态超燃冲压发动机对隔离段性能的需求分析

为研究双模态超燃冲压发动机的燃烧室一隔离段共同工作过程,分析不同模态下燃烧室对隔离段的性能需求,在基于集总参数方程的超燃冲压发动机性能计算模型的基础上,提出计算燃烧室一隔离段流量平衡的临界能量法,并编制相应的计算程序,实现双模态超燃冲压发动机各种模态的隔离段和燃烧室的流量平衡计算,计算在不同的模态下隔离段和燃烧室的一维流动参数,进而获得隔离段的性能需求,计算飞行马赫数4．0到7．0时的临近堵塞边界的最大供油量与隔离段最大激波链长度。结果表明：临界能量法正确有效,能完成燃烧室一隔离段流量匹配计算;高飞行马赫数下的堵塞模态的隔离段激波链长度较长,应作为隔离段的工程设计中所参考的重要因素。     

Gain self-scheduled H_∞ control for morphing aircraft in the wing transition process based on an LPV model

This article investigates gain self-scheduled H 1 robust control system design for a tailless fold- ing-wing morphing aircraft in the wing shape varying process. During the wing morphing phase, the aircraft’s dynamic response will be governed by time-varying aerodynamic forces and moments. Nonlinear dynamic equations of the morphing aircraft are linearized by using Jacobian linearization approach, and a linear parameter varying (LPV) model of the morphing aircraft in wing folding is obtained. A multi-loop controller for the morphing aircraft is formulated to guarantee stability for the wing shape transition process. The proposed controller uses a set of inner-loop gains to provide stability using classical techniques, whereas a gain self-scheduled H 1 outer-loop controller is devised to guarantee a specific level of robust stability and performance for the time-varying dynamics. The closed-loop simulations show that speed and altitude vary slightly during the whole wing folding process, and they converge rapidly after the process ends. This proves that the gain self-scheduled H 1 robust controller can guarantee a satisfactory dynamic performance for the morphing aircraft during the whole wing shape transition process. Finally, the flight control system’s robustness for the wing folding process is verified according to uncertainties of the aerodynamic parameters in the nonlinear model.     

一种航路4D航迹预测的方法

4D航迹预测是空管自动化系统中的一项核心技术,能够提高空域的利用率和安全性。为了在航路上快速准确的预测航空器的飞行轨迹,提出一种预测航路4D航迹的方法。首先利用Supermap制作航路网络,然后根据航空器的性能参数,推测各时间点的航空器位置,从而得到航路上航空器的飞行航迹,并通过实例进行了说明,为航迹预测提供一定参考。     

空间机器人抓取未知目标的质量特性参数辨识

根据动量守恒定理,研究了单臂自由飘浮空间机器人抓取未知目标的质量特性参数辨识问题。已有文献中基于动量守恒原理进行的参数辨识只适用于系统线动量和角动量为零的情况,当两者不为零时无法得到正确的辨识结果。为解决此问题,本文首先在惯性系而非本体系下推导得到了机械臂抓取未知目标后的系统线动量和角动量,保证了其各分量的守恒特性。然后基于此特性,通过在轨测量两个时刻机器人本体的线速度、角速度以及机械臂各关节的角速度和转角信息,建立了含有未知目标质量特性参数的动量增量方程。最后根据三组测量信息,从联立的动量增量方程组中求解得到未知目标的质量特性参数。数值仿真表明,此方法在系统线动量和角动量为零和不为零两种情况下都能实现高精度的参数辨识,同时还避免了方程求解的奇异问题。     

改进的卫星广播星历参数模型及其算法

考虑导航卫星受地球周期性的摄动力影响,提出了一种改进的导航卫星星历参数模型,给出了模型参数的计算方法和用该模型外推卫星轨道的计算步骤。仿真计算结果表明：该广播星历参数模型外推能力强,可较好地拟合卫星运动轨道。     

A novel system parameters design and performance analysis method for Distributed Satellite-borne SAR system

As a promising new technology emerged in recent years, the Distributed Satellite-borne SAR (DSS) system with Interferometric Synthetic Aperture Radar (InSAR) imaging capability has been recognized by the remote sensing community as an integrated part of the spaceborne earth observation system. However, most researches on DSS were focused on individual aspects of system design/analysis and data processing, while few studies have been dedicated to establishing a standard methodological framework for universal DSS system design. Aiming at this problem, the topics of DSS system error analysis and design method are investigated in this paper. Firstly, a rigorous error propagation model of height measurement is theoretically derived from the DSS InSAR imaging geometry, and the impact of each error sources in this model on the height measurement accuracy is analyzed individually. In particular, the baseline length and its measurement error in the InSAR imaging plane are identified as the dominant factors. Second, a new method for DSS system design is proposed based on our analyses with the error propagation model. This method consists of two important phases, namely collaboration design and monostatic design. The major objective of collaboration design is to determine the configuration and parameters for the coordination between satellites in the DSS system. Afterwards, the key parameters for single satellite and the payload are determined by the monostatic design. Thirdly, a system performance analysis method is developed to comprehensively evaluate the performance of the pre-designed DSS system. In the next section, a typical example of DSS system design is given to demonstrate the effectiveness of the proposed system design and analysis methods. The target DSS system has the same goal and hardware configuration as the TanDEM-X mission. Finally, the conclusion is drawn with our major findings are presented.     

基于遗传算法的柴油机喷油系统模型参数辨识

柴油机喷油系统中压力的变化会引起气泡的产生和溃灭,而气泡的变化会对燃油的流动和压力波的传播产生影响.为了更准确预测喷油系统中的初始含气率以及变化情况,提出了应用改进遗传算法对柴油机喷油系统模型中的柱塞腔、出油阀紧帽腔、高压油管和针阀腔初始含气率进行辨识的新方法.基于气泡模型,建立了气-液两相条件下的柴油机喷油系统模型,通过仿真数据和试验数据对比,构造了适应度函数,实现了对柴油机喷油系统模型的参数辨识,并得到了参数优化后的柴油机喷油系统模型.仿真结果与试验数据的比较验证了采用改进遗传算法对气-液两相条件下的柴油机喷油系统模型进行参数辨识的可行性.     

含区间参数不确定结构的损伤识别方法

针对损伤识别中遇到的含统计信息不足的不确定参数的结构,以区间向量来描述其中的不确定参数。基于有限元理论给出了应变模态的测试方法,进一步将应变模态表示为区间参数的函数,结合一阶Taylor展开与区间分析,计算了参数不确定条件下应变模态的界限,给出了一种考虑参数不确定的结构损伤识别方法,并在理论上对比分析了与基于概率方法的区别与联系。为验证方法的合理性,对简支梁在不同位置损伤的情况进行了数值模拟,分析了不同损伤程度以及参数不同不确定程度下简支梁应变模态的变化规律,简要讨论了噪声对识别准确性的影响。为含不确定参数的结构的损伤识别提供了一种新的方法和思路。