Behavior and functional modeling methods of doubly salient electromagnetic generators for aircraft electrical power system applications

The Doubly Salient Electromagnetic Generator(DSEG) is a promising candidate in aircraft generator application due to the simplicity, robustness and reliability. However, the field windings and the armature windings are strongly coupled, which makes the inductance characteristics non-linear and too complex to model. The complex model with low precision also leads to difficulties in modeling and analysis of the entire aircraft Electrical Power System(EPS). A behavior level modeling method based on modified inductance Support Vector Machine(SVM) is proposed. The Finite Element Analysis(FEA) inductance data are modified based on the experiment results to improve the precision. A functional level modeling method based on input–output characteristics SVM is also proposed. The two modeling methods are applied to a 9 kW DSEG prototype. The steady state and transient process precision of the proposed methods are proved by comparing with the experiment results. Meanwhile, the modeling time consumption, the application time consumption and the calculation resource demand are compared. The DSEG behavior and functional modeling methods provide precious results with high efficiency, which accelerates theoretical analysis and expands the application foreground of the DSEG in the aircraft EPS.     

Geometric error analysis of an over-constrained parallel tracking mechanism using the screw theory

This paper deals with geometric error modeling and sensitivity analysis of an overconstrained parallel tracking mechanism. The main contribution is the consideration of overconstrained features that are usually ignored in previous research. The reciprocal property between a motion and a force is applied to tackle this problem in the framework of the screw theory. First of all, a nominal kinematic model of the parallel tracking mechanism is formulated. On this basis, the actual twist of the moving platform is computed through the superposition of the joint twist and geometric errors. The actuation and constrained wrenches of each limb are applied to exclude the joint displacement. After eliminating repeated errors brought by the multiplication of wrenches, a geometric error model of the parallel tracking mechanism is built. Furthermore,two sensitivity indices are defined to select essential geometric errors for future kinematic calibration. Finally, the geometric error model with minimum geometric errors is verified by simulation with SolidWorks software. Two typical poses of the parallel tracking mechanism are selected, and the differences between simulation and calculation results are very small. The results confirm the correctness and accuracy of the geometric error modeling method for over-constrained parallel mechanisms.     

A data-driven approach to modeling high-density terminal areas: A scenario analysis of the new Beijing,China airspace

Airports are being developed and expanded rapidly in China to accommodate and pro-mote a growing aviation market. The future Beijing Daxing International Airport (DAX) will serve as the central airport of the JingJinJi megaregion, knitting the Beijing, Tianjin, and Hebei regions together. DAX will be a busy airport from its inception, relieving congestion and accommodating growth from Beijing Capital International Airport (PEK), currently the second busiest airport in the world in passengers moved. We aim to model terminal airspace designs and possible conflicts in the future Beijing Multi-Airport System (MAS). We investigate standard arrival procedures and mathematically model current and future arrival trajectories into PEK and DAX by collecting large quantities of publicly available track data from historical arrivals operating within the Beijing terminal airspace. We find that (1) trajectory models constructed from real data capture aberrations and deviations from standard arrival procedures, validating the need to incorporate data on histor-ical trajectories with standard procedures when evaluating the airspace and (2) given all existing constraints, DAX may be restricted to using north and east arrival flows, constraining the capacity required to handle the increases in air traffic demand to Beijing. The results indicate that the termi-nal airspace above Beijing, and the future JingJinJi region, requires careful consideration if the full capacity benefits of the two major airports are to be realized.     

基于比例复数积分+重复控制的三相LC并网逆变器控制策略研究

针对传统PI控制的局限性,采用基于复数域的比例复数积分(PCI)控制与重复控制并联的新型控制策略,其中PCI控制可以在给定条件下消除交流稳态误差,重复控制能够抑制并网电流谐波,提高稳态控制精度。该新型控制策略可以较好地控制交流信号,能直接应用于三相abc坐标系,省去坐标变化环节,节约逆变器控制系统成本。最后通过MATLAB/Simulink仿真平台,建立LC型滤波器的逆变器并网模型,仿真分析证明了该控制策略的可行性。     

数学建模在应用型人才培养中的作用分析

数学建模可以提升学生综合素质，培养其创新及实践能力，因此，提高高校大学生的数学建模能力，对于培养应用型人才具有十分重要的意义。针对数学建模在应用型人才培养中的作用进行了分析，并提出了若干建议，以提升高校大学生的数学建模能力。     

考虑多维修策略的复杂系统可靠性评估研究

对于复杂可修系统,尤其是非马尔科夫可修系统的可靠性评估,常规的数学解析法计算十分复杂,甚至无法得到预期的结果.研究基于故障树最小割集和蒙特卡罗仿真的方法对复杂可修系统的可靠性进行评估,建立相应的仿真模型,设计相应的仿真算法,给出不同维修策略下复杂可修系统的各项可靠性指标,可以为系统的可靠性管理和维修决策提供支持.以某战斗机导弹发射系统为例,验证了模型及算法的有效性.     

航路网络生成及优化

空中交通流运行的安全性和成本取决于航路网络结构。基于节点度实现航路网络枢纽节点和干线节点分层,利用全局耦合生成主干网络,运用距离连接概率实现干线节点社区化,采用连接概率生成社区网络;采用DBSCAN聚类算法,基于角度和距离实现航路网络优化;以中国大陆空域为例,实现了主干航路网络和局部干线航路网络的生成及优化,验证了方法的可行性。在与相关研究对比,基于节点度的枢纽节点选取更加客观合理,所构建的分层航路网络结构符合机场点的分布特性,采用DBSCAN聚类算法优化效率明显提高。     

铣削加工工艺力学机理研究

结构件数控铣削加工技术广泛应用于航空航天工业中。铣削加工中,不合理工艺参数下的切削力会引起较大刀具-工件变形及加工颤振,极大影响着加工精度和质量。深入研究工艺过程的力学机理,进而采用建模仿真技术来优选工艺参数,对高效高精度加工技术的实现具有重要意义。本研究围绕切削力建模、动力学建模与颤振稳定性分析以及变形误差预测与控制技术等相关工作进行介绍。     

智能机床的误差补偿技术

误差补偿技术是智能机床精度提高与保持的关键技术之一.分析了国内外机床误差补偿技术研究现状,提出智能机床误差补偿技术总框架;总结了智能机床误差源、误差元素、几何与热误差的误差元素模型及建模方法,以及典型的误差补偿方法;研究了力误差补偿技术、基于零件在线测量的误差综合补偿技术;最后,对未来智能机床误差补偿技术的发展重点进行展望.     

鼠笼式弹性支承结构参数分步优化设计方法

为进一步提高鼠笼式弹性支承结构支承刚度设计的准确性,同时最大限度地减小鼠笼受到的最大应力,在相关研究的基础上,基于参数化建模思想,并结合有限元优化技术提出分步优化设计方法.采用鼠笼式弹性支承的刚度和应力计算公式并结合加工装配条件初定1组满足设计要求的结构参数值;建立鼠笼式弹性支承的有限元优化模型,并将初定的结构参数值代入到有限元优化模型作为优化的初始迭代值,同时以鼠笼笼条的长度和厚度为优化参数,经过迭代计算得到满足工程需求的结构参数.该方法可提高设计精度,节省设计时间.最后,结合具体算例验证了优化设计方法的有效性和实用性.