复杂环境下微小飞行器惯性/激光雷达Robust-SLAM方法

针对微小型飞行器在巡检、探测和地图构建等应用中关键的自主导航技术,提出了一种基于惯性辅助的激光雷达Robust-SLAM方法用于微小型飞行器自主导航。相对于传统的激光雷达SLAM方法,该方法在SLAM框架中引入了感知环境突变检测方法,并且加强了惯性与SLAM的组合程度,有效地解决了高程方向感知环境发生突变时激光雷达SLAM定位误差大的问题。室内车库实际飞行实验结果表明,该方法能够实现微小型飞行器在三维空间中实时可靠的自主导航,具有较好的工程应用价值。     

Relevant experience learning: A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments

Unmanned Aerial Vehicles (UAVs) play a vital role in military warfare. In a variety of battlefield mission scenarios, UAVs are required to safely fly to designated locations without human intervention. Therefore, finding a suitable method to solve the UAV Autonomous Motion Planning (AMP) problem can improve the success rate of UAV missions to a certain extent. In recent years, many studies have used Deep Reinforcement Learning (DRL) methods to address the AMP problem and have achieved good results. From the perspective of sampling, this paper designs a sampling method with double-screening, combines it with the Deep Deterministic Policy Gradient (DDPG) algorithm, and proposes the Relevant Experience Learning-DDPG (REL-DDPG) algorithm. The REL-DDPG algorithm uses a Prioritized Experience Replay (PER) mechanism to break the correlation of continuous experiences in the experience pool, finds the experiences most similar to the current state to learn according to the theory in human education, and expands the influence of the learning process on action selection at the current state. All experiments are applied in a complex unknown simulation environment constructed based on the parameters of a real UAV. The training experiments show that REL-DDPG improves the convergence speed and the convergence result compared to the state-of-the-art DDPG algorithm, while the testing experiments show the applicability of the algorithm and investigate the performance under different parameter conditions.     

Large-eddy simulation:Past,present and the future

Large-eddy simulation(LES) was originally proposed for simulating atmospheric flows in the 1960 s and has become one of the most promising and successful methodology for simulating turbulent flows with the improvement of computing power. It is now feasible to simulate complex engineering flows using LES. However, apart from the computing power, significant challenges still remain for LES to reach a level of maturity that brings this approach to the mainstream of engineering and industrial computations. This paper will describe briefly LES formalism first, present a quick glance at its history, review its current state focusing mainly on its applications in transitional flows and gas turbine combustor flows, discuss some major modelling and numerical challenges/issues that we are facing now and in the near future, and finish with the concluding remarks.     

A composite disturbance observer and H_∞ control scheme for flexible spacecraft with measurement delay and input delay

In this paper, the attitude control algorithm of flexible spacecraft with unknown measurement delay and input delay based on disturbance observer is designed. The influence of measurement delay and input delay on the attitude control system and disturbance observer is analyzed. The disturbance estimation error equation is transformed into a differential system with a pure delay. Then, the observer gain is chosen based on the 3/2 stability theorem to ensure the stability and disturbance attenuation performance of the pure delay system. Next, the controller gain is designed based on the Linear Matrix Inequality(LMI) approach to guarantee the stability of the composite system and achieve H_∞ performance with two additive delays. The simulation results show that the proposed method can improve the anti-disturbance ability of the attitude control system.     

Design,modeling, and control of morphing aircraft: A review

A morphing aircraft can adapt its configuration to suit different types of tasks, which is also an important requirement of Unmanned Aerial Vehicles(UAV). The successful development of an unmanned morphing aircraft involves three steps that determine its ability and intelligent: configuration design, dynamic modeling and flight control. This study conducts a comprehensive survey of morphing aircraft. First, the methods to design the configuration of a morphing aircraft are presented and analyzed...     

A new SINS/GPS sensor fusion scheme for UAV localization problem using nonlinear SVSF with covariance derivation and an adaptive boundary layer

The state estimation strategy using the smooth variable structure filter(SVSF) is based on the variable structure and sliding mode concepts. As presented in its standard form with a fixed boundary layer limit, the value of the boundary layer width is not precisely known at each step and may be selected based on a priori knowledge. The boundary layer width reflects the level of uncertainty in the model parameters and disturbance characteristics, where large values of the boundary layer width lead to robustness without optimality and small values of the boundary layer width provide optimality with poor robustness. As a solution and to overcome these limitations, an adaptive smoothing boundary layer is required to achieve greater robustness and suitable accuracy.This adapted value of the boundary layer width is obtained by minimizing the trace of the a posteriori covariance matrix. In this paper, the proposed new approach will be considered as another alternative to the extended Kalman filters(EKF), nonlinear H1 and standard SVSF-based data fusion techniques for the autonomous airborne navigation and self-localization problem. This alternative is based on strapdown inertial navigation system(SINS) and GPS data using the nonlinear SVSF with a covariance derivation and adaptive boundary layer width.Furthermore, the full mathematical model of the SINS/GPS navigation system considering the unmanned aerial vehicle(UAV) position, velocity and Euler angle as well as gyro and accelerometer biases will be used in this paper to estimate the airborne position and velocity with better accuracy.     

Challenges of future aircraft propulsion: A review of distributed propulsion technology and its potential application for the all electric commercial aircraft

This paper highlights the role of distributed propulsion technology for future commercial aircraft. After an initial historical perspective on the conceptual aspects of distributed propulsion technology and a glimpse at numerous aircraft that have taken distributed propulsion technology to flight, the focal point of the review is shifted towards a potential role this technology may entail for future commercial aircraft. Technological limitations and challenges of this specific technology are also considered in combination with an all electric aircraft concept, as means of predicting the challenges associated with the design process of a next generation commercial aircraft.     

Path,feedrate and trajectory planning for free-form surface machining: A state-of-the-art review

Nowadays, free-form surfaces have been widely used in various industrial fields. They are usually machined by CNC machine tools, but recently have also begun to be manufactured by industrial robotic arm manipulators, thanks to low cost, large operation reaching space and high machining flexibility of robot. So far, various methodologies have been proposed to improve efficiency and quality of free-form surface machining, thus this paper aims at providing a state-of-the-art review on research advances in free-form surface machining. In this review, tool path generation, feedrate scheduling in Cartesian space and trajectory planning in joint space are focused for both CNC machining and robot machining, and their research statues, existing difficulties and key issues are discussed in detail. Finally, the feasible routes, breakthrough points and future development trend are also expounded.     

A review of uncertainty in flight vehicle structural damage monitoring,diagnosis and control: Challenges and opportunities

This paper presents a comprehensive review of uncertainties involved in flight vehicle structural damage monitoring, diagnosis, prognosis and control. Uncertainties can cause infeasibilities, false diagnosis and very imprecise prognosis if not correctly taken into account. The purpose of this paper is to review existing methods that have been developed to address the problem of uncertainty in the area of damage sensing, diagnosis, prognosis and control in flight vehicles. The mathematical and statistical methods in analyzing uncertainty are first presented and compared. Then, the different sources and perspectives of uncertainties in the damage assessment process are presented and classified. Following this, diagnosis and prognosis methods are reviewed. Final review section covers the control of damaged structure under uncertainty. In each section and in the concluding remarks section the research challenges in the field of flight vehicle structural damage sensing, diagnosis and prognosis methods as well as control under uncertainty are identified and promising new ideas are discussed.     

CFD技术在航空工程领域的应用、挑战与发展

计算流体力学(CFD)技术在航空工程领域发挥着重要作用。总结了CFD技术在航空工程领域中的应用,系统阐述了气动设计、气动弹性、气动噪声、数字化飞行等多学科耦合计算领域对CFD技术的需求,结合实际工程应用分析了CFD技术面临的主要挑战。总结了近年来CFD技术在流动分离、边界层转捩、高精度方法和运动网格技术等领域取得的研究成果以及在气动特性评估、流动机理分析、气动设计、气动弹性、气动噪声等工程领域中的应用。进一步展望了CFD数值模拟未来的几个关键技术以及应用前景。