遗传算法在航空发动机非线性数学模型中的应用

收敛性是航空发动机非线性数学模型的重要指标。现有发动机平衡方程迭代解法还不能保证模型大范围收敛。以某涡扇发动机为对象,采用遗传算法求解发动机非线性数学模型,将模型中的发动机平衡方程求解转换为极小值优化问题,建立了遗传算法计算模型,重点分析了采用遗传算法求解的适应度函数设计方法。数值仿真结果表明,与牛顿-拉夫逊解法相比,采用遗传算法方法可实现模型大范围收敛。     

Best practices for model-based and simulation-aided engineering of power transmission and motion control systems

This paper deals with the modelling and simulation of aircraft systems, in particular for power transmission and control. It is intended to review, propose and disseminate best practices for making model-based/simulation-aided engineering more efficient at any phase of the system life cycle. The proposals are aimed at creating value, not only by increasing the performance of the product under study but also by shortening the time to market, capitalizing knowledge, mitigating risks and facilitating concurrent engineering. The needs associated with the engineering activities are firstly identified to define a set of requirements for the models. Then, these requirements are used to drive the considerations leading to model development, focusing in particular on the process, modelled physical effects, modelling level, model architecting and concurrent engineering. The third part deals with the model implementation, giving special consideration to the different types of models, causalities, parameterization, implementation and verification. Each part is illustrated by examples related to safety critical actuators.     

Modelling and simulation of flight control electromechanical actuators with special focus on model architecting,multidisciplinary effects and power flows

In the aerospace field, electromechanical actuators are increasingly being implemented in place of conventional hydraulic actuators. For safety-critical embedded actuation applications like flight controls, the use of electromechanical actuators introduces specific issues related to thermal balance, reflected inertia, parasitic motion due to compliance and response to failure. Unfortu-nately, the physical effects governing the actuator behaviour are multidisciplinary, coupled and nonlinear. Although numerous multi-domain and system-level simulation packages are now avail-able on the market, these effects are rarely addressed as a whole because of a lack of scientific approaches for model architecting, multi-purpose incremental modelling and judicious model implementation. In this publication, virtual prototyping of electromechanical actuators is addressed using the Bond-Graph formalism. New approaches are proposed to enable incremental modelling, thermal balance analysis, response to free-run or jamming faults, impact of compliance on parasitic motion, and influence of temperature. A special focus is placed on friction and compliance of the mechanical transmission with fault injection and temperature dependence. Aileron actuation is used to highlight the proposals for control design, energy consumption and thermal analysis, power net-work pollution analysis and fault response.     

大涡模拟模型燃烧室燃烧性能计算

对带双级扩压器的模型燃烧室气液两相瞬态喷雾燃烧过程,在三维贴体坐标系下采用欧拉-拉格朗日两相大涡模拟方法进行数值研究,同时采用多维经验分析法预估燃烧性能.采用 k 方程亚网格尺度模型模拟亚网格湍流黏性;亚网格EBU(eddy-break-up)燃烧模型预估化学反应速率;多维经验分析法计算燃烧性能;并在非交错网格体系下气相采用SIMPLE(semi-implicit method for pressure-linked equations)算法对控制方程进行求解,液相采用随机离散模型,两相之间的耦合采用PSIC(particle-source-in-cell)算法.通过大涡模拟瞬态及时均计算结果表明:与粒子图像测速仪(PIV)测量的瞬态速度场、出口温度分布试验数据吻合,表明在三维贴体坐标系下采用欧拉-拉格朗日两相大涡模拟方法,数值模拟模型燃烧室两相喷雾燃烧流场,所采用的亚网格模型可以用于燃烧室气液两相喷雾燃烧流场的大涡模拟;燃烧性能计算结果与试验测量结果基本一致,说明所采用多维经验分析法可以用来数值模拟航空发动机燃烧室燃烧性能的计算,特别是污染物的预估,为设计低污染高性能航空发动机燃烧室提供有用的设计依据.      

基于多并联支路的双余度永磁同步电机伺服系统分析

为了提高永磁同步电机(PMSM)伺服系统的可靠性,提出了一种基于多并联支路的双余度PMSM伺服系统。阐述了其基本的冗余设计原理和控制驱动原理。依据电机的具体结构和控制驱动方式,建立了基于多并联支路的双余度PMSM的数学模型及其控制系统模型,包括磁链平衡方程、电压平衡方程、转矩方程、机械运动方程和电流控制系统框图及其稳定性分析。并依据建立的模型,基于MATLAB/Simulink仿真其发生故障时的工作状态,得到整个伺服系统的响应数据,从理论上验证了该伺服系统的容错性能。     

基于流体网络拓扑的航空发动机及燃气轮机整机性能建模方法

为了快速、灵活、自由地搭建航空发动机及燃气轮机不同构型整机性能仿真模型，提出了一种基于流体网络拓扑的发动 机整机性能仿真模型方案。从发动机部件及整机性能模型建模基本原理出发，在现有面向对象的部件性能建模及通用仿真系统 总体框架基础上，采用迭代变量和平衡方程组与发动机部件模型和部件模型计算顺序相关联技术，建立了适用于不同航空发动机和 燃气轮机类型的稳态性能仿真模型，并将该模型计算结果与成熟的商用仿真软件计算结果进行了对比分析。结果表明：该方案、模 型可以实现发动机计算模型/拓扑自动构建，以及迭代变量与平衡方程组自动构建，提高了仿真系统的适用性。     

高速电路板信号完整性设计及仿真

在高速电路设计过程中,信号完整性问题是影响设计能否成功的重要问题之一。通过建立仿真模型,设计者可以在设计阶段就发现信号完整性问题,及时采取合理的方法修改设计,避免了由于信号完整性带来的系统失效。对常见的信号完整性问题进行分析,重点描述了反射和串扰,并结合仿真技术给出相应的修改措施,尽量减小信号完整性产生的问题,通过提前进行设计仿真,设计者可以减少设计失误,提高系统可靠性。     

主动控制技术(ACT)验证机工程飞行仿真系统设计

研究一种我国自行研制、开发的用于ＡＣＴ验证机的研制和试飞的多功能工程飞行仿真系统,分析了系统的设计概念、原则和功能要求,提出了面向多功能要求（全数字实时飞行仿真、电传飞控铁鸟台综合试验、飞行训练模拟和工程飞行仿真）的总体设计和总体结构,研究了ＡＣＴ验证机动力学特性的建模、仿真和提高仿真逼真度的方法。研究和开发了工程飞行仿真的实时管理软件系统和人机（用户）接口。系统应用实践和试飞飞行员的评价表明设计是成功的,是一种性能／价格比高的工程飞行仿真系统。     

变循环涡扇冲压组合发动机发展现状及关键技术分析

总结了国内外变循环涡扇冲压组合发动机的发展现状,对比分析了有/无能量传递构型的变循环涡扇冲压组合发动机的工作原理及优缺点。提炼了变循环涡扇冲压组合发动机的关键技术,包括总体性能仿真技术、高速宽工况风扇设计技术、加力/冲压燃烧室设计技术、热管理系统设计技术以及模态转换设计技术。基于国内需求和相关技术研究现状,给出了变循环涡扇冲压组合发动机后续重点研究方向的建议,包括发动机总体性能设计与仿真工具、发动机多设计点多学科耦合设计方法、发动机热管理系统设计与仿真建模以及关键部件的设计与试验。     

Unsteady aerodynamic modeling at high angles of attack using support vector machines

Accurate aerodynamic models are the basis of flight simulation and control law design.Mathematically modeling unsteady aerodynamics at high angles of attack bears great difficulties in model structure determination and parameter estimation due to little understanding of the flow mechanism.Support vector machines(SVMs)based on statistical learning theory provide a novel tool for nonlinear system modeling.The work presented here examines the feasibility of applying SVMs to high angle-of-attack unsteady aerodynamic modeling field.Mainly,after a review of SVMs,several issues associated with unsteady aerodynamic modeling by use of SVMs are discussed in detail,such as selection of input variables,selection of output variables and determination of SVM parameters.The least squares SVM(LS-SVM)models are set up from certain dynamic wind tunnel test data of a delta wing and an aircraft configuration,and then used to predict the aerodynamic responses in other tests.The predictions are in good agreement with the test data,which indicates the satisfying learning and generalization performance of LS-SVMs.     

蓄热式太阳能热光伏-热推进双模系统换热特性数值模拟研究

本文通过三维数值模拟研究蓄热式太阳能热光伏-热推进双模系统的蓄/释热特性和推进性能。在蓄热式太阳能热推进系统工程模型的基础上,通过射线光学的光路分析验证了聚光器设计的合理性,并获得吸热腔壁面能量分布情况,进一步研究了相变蓄热过程的影响因素。基于场协同原理对热光伏再生冷却结构进行了优化设计,使热光伏具有较好的散热特性,提高发电功率;通过整机流动换热仿真,分析了工质流体在推进器内部的换热情况,计算结果表明,蓄热式热推进器具有达到734s比冲和0.9N推力的推进性能,以及能够满足日蚀区微小卫星的供电和推力需求。     

A linear ADRC-based robust high-dynamic double-loop servo system for aircraft electro-mechanical actuators

Compared with traditional hydraulic actuators, an Electro-Mechanical Actuator(EMA)is small in size and light in weight, so it has become more widely used. Aerodynamic load on aircraft control surface varies dramatically, and a change of flight environment leads to uncertainties of motor parameters. Therefore, high-dynamic response and strong anti-disturbance capability of an EMA are of great significance for aircraft rudder control and flight attitude adjustment. In order to improve dynamic response and disturbance rejection of an EMA and simplify control parameters tuning, a robust high-dynamic servo system based on Linear Active Disturbance Rejection Control(LADRC) is proposed for an EMA employing a Permanent Magnet Synchronous Motor(PMSM).Firstly, total disturbances of the EMA are analyzed, including parameter uncertainties, load variation, and static friction. A disturbance observer based on a reduced-order Extended State Observer(ESO) is designed to improve the anti-interference ability and dynamic performance. Secondly, the servo control architecture is simplified to a double-loop system, and a composite control of position and speed with acceleration feed-forward is presented to improve the EMA frequency bandwidth.Thirdly, the ideal model of the EMA is transformed into a simple cascade integral form with a disturbance observer, which makes it convenient to analyze and design the controller. Robustness performance comparisons are realized in frequency domain. Finally, simulation and experimental results have verified the effectiveness of the proposed strategy for EMAs.     

DDV作动器余度数字伺服系统工程设计与实现

 介绍一种直接驱动阀（DDV）式作动器的余度数字式伺服系统设计与实现,描述了系统的余度配置、设计思想及组成,建立了DDV作动器的结构参数化模型及数字伺服回路的模型,并进行了仿真,分析了作动器动静态特性、采样频率及监控器的设计性能。最后,采用快速原型实时仿真,对余度数字式伺服系统完成了的性能试验验证,结果表明系统性能令人满意。     

Multiple model adaptive estimation with filter spawning

Multiple model adaptive estimation (MMAE) with filter spawning is used to detect and estimate partial actuator failures on the VISTA F-16. The truth model is a full six-degree-of-freedom simulation provided by Calspan and General Dynamics. The design models are chosen as 13-state linearized models, including first order actuator models. Actuator failures are incorporated into the truth model and design model assuming a "failure to free stream." Filter spawning is used to include additional filters with partial actuator failure hypotheses into the MMAE bank. The spawned filters are based on varying degrees of partial failures (in terms of effectiveness) associated with the complete-actuaton-failure hypothesis with the highest conditional probability of correctness at the current time. Thus, a blended estimate of the failure effectiveness is found using the filters' estimates based upon a no-failure hypothesis, a complete actuator failure hypothesis, and the spawned filters' partial-failure hypotheses. This yields substantial precision in effectiveness estimation, compared with what is possible without spawning additional filters, making partial failure adaptation a viable methodology.     

Global design optimization for aerodynamics and rocket propulsion components

Modern computational and experimental tools for aerodynamics and propulsion applications have matured to a stage where they can provide substantial insight into engineering processes involving fluid flows, and can be fruitfully utilized to help improve the design of practical devices. In particular, rapid and continuous development in aerospace engineering demands that new design concepts be regularly proposed to meet goals for increased performance, robustness and safety while concurrently decreasing cost. To date, the majority of the effort in design optimization of fluid dynamics has relied on gradient-based search algorithms. Global optimization methods can utilize the information collected from various sources and by different tools. These methods offer multi-criterion optimization, handle the existence of multiple design points and trade-offs via insight into the entire design space, can easily perform tasks in parallel, and are often effective in filtering the noise intrinsic to numerical and experimental data. However, a successful application of the global optimization method needs to address issues related to data requirements with an increase in the number of design variables, and methods for predicting the model performance. In this article, we review recent progress made in establishing suitable global optimization techniques employing neural-network- and polynomial-based response surface methodologies. Issues addressed include techniques for construction of the response surface, design of experiment techniques for supplying information in an economical manner, optimization procedures and multi-level techniques, and assessment of relative performance between polynomials and neural networks. Examples drawn from wing aerodynamics, turbulent diffuser flows, gas–gas injectors, and supersonic turbines are employed to help demonstrate the issues involved in an engineering design context. Both the usefulness of the existing knowledge to aid current design practices and the need for future research are identified.     

一种电动汽车用驱动电机系统性能评价方法

根据电动汽车用驱动电机性能特点,从驱动电机系统的电机控制性能、电机本体设计、企业资质能力等不同维度分析,应用层次分析法(AHP)确定驱动电机性能评价指标体系及其指标权重,建立驱动电机性能评价的BP神经网络模型,并采用鸡群优化算法(CSO)对其模型进行优化。仿真实例表明,基于AHP和CSOBP神经网络的驱动电机系统性能评价方法,具有评价速度快、准确率高等优点, 并得到满意的评价结果。这对于电动汽车驱动电机系统的评价、选择与应用,具有较好的工程实用价值。     

基于模型的载人航天器研制方法研究与实践

载人航天器具有系统规模大、技术难度高、单件小批量、无法通过多次飞行持续完善设计、可靠性要求高等特点。当前载人航天器研制中仍存在着参数化和模型化程度不高、基于模型的系统综合仿真验证不足、研制各环节缺乏数字化集成等问题，传统基于文本的系统工程方法已无法满足研制需求，亟需采用基于模型的系统工程方法。本文针对载人航天器的研制现状和应用需求，提出了面向载人航天器全生命周期的模型体系，定义了需求模型、功能模型、产品模型、工程模型、制造模型、实做模型等六类模型，提出了基于模型的研制流程，包含系统设计闭环验证、产品设计闭环验证、实做产品闭环验证3个验证环节，并深入探索了各研制环节中不同模型间的传递与关联关系。以某型号载人航天器为应用基础，系统地验证了提出的方法。     

An integrated preforming-performance model for high-fidelity performance analysis of cured woven composite part with non-orthogonal yarn angles

Preforming process would change yarn angle and yarn orientation, its influence on the material properties and material orientations needs to be considered in the performance analysis.However, most current performance models fail to account for the preforming effect. An integrated performance model accounting for the impact of preforming has been developed. In this integrated model, part geometry, yarn angle and orientation after preforming of multiple prepreg layers are predicted by Finite Eleme...     

平流层电动机控制器热特性仿真分析和实验

为得到某电动机控制器在平流层低温低气压环境下工作时的热特性,开展了基于软件Icepak的热仿真分析,并通过地面环境模拟实验和平流层飞行实验对仿真模型进行了验证,仿真结果与实验结果基本吻合。结果表明:控制器的热设计可以满足保温和散热要求;在平流层低气压条件下,内部风扇可有效地保持控制器内部温度的均衡;平流层高度的太阳辐射对控制器内部温度分布有较大影响,在进行热设计时应予以考虑。研究结果为平流层电动机控制器的工程应用提供重要的参考依据。      

航炮地面热校靶的仿真分析

由于航炮系统结构的复杂性,在热校靶靶试精度调整过程中面临地面热校靶靶试精度低问题,需要依靠进行反复的实弹射击,而这一过程通常要花费很大代价(消耗弹药、降低航炮的使用寿命等),利用仿真技术建立航炮仿真模型,并将其置于虚拟试验的环境中进行测试[1],找出热校靶弹着点的分布规律,应用到地面热校靶,有利于实现航炮的靶试精度、提高生产效率、降低成本和缩短靶试周期。本文采用CATIAV5平台建立航炮系统仿真,通过仿真模型的研究[2],提高热校靶靶试精度。